1. (25%) There are many activations utilized in DL, e.g., sigmoid, ReLU, SeLU, etc. Can you compare their pros and cons? Please also address proper application contexts for each activation function....

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Please see questions for this assignment in the word document. You need to complete each questions, for short answer questions you need to give answers in words and sentences. For coding part, just follow the instructions. Submit in a ipynb file. Thank you.


1. (25%) There are many activations utilized in DL, e.g., sigmoid, ReLU, SeLU, etc. Can you compare their pros and cons? Please also address proper application contexts for each activation function. 2. (25%) How to avoid overfitting at DNN model? Please discuss at least three ways and compare them. 3. (20%) How to use Data Normalization to improve DNN model training and performance? Please discuss at least two methods and compare them. 4. (10%, coding assignment) Train a deep MLP to perform regression task to predict price based on the California housing dataset (you can load it from https://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html). Try tuning parameters, layers, neurons, activation functions, learning rate, etc. Find your best tuned model and plot learning curves, as we show at our coding demo during class. 5. (20%, coding assignment) Practice training a deep neural network on the https://keras.io/api/datasets/fashion_mnist/#load_data-function dataset for fashion style classification task: a. Build a DNN with 10 hidden layers of 30 neurons each. Use He initialization (see Géron A. Hands-on textbook p. 333) and the ELU activation function. Using Nadam optimization and early stopping(see https://machinelearningmastery.com/how-to-stop-training-deep-neural-networks-at-the-right-time-using-early-stopping/), train the network on this fashion MNIST dataset. b. Now try adding Batch Normalization and compare the learning curves: Is it converging faster than before? Does it produce a better model? How does it affect training speed? c. Try replacing Batch Normalization with SELU and make the necessary adjustments to ensure the network self-normalizes (i.e., standardize the input features). d. Try regularizing the model with some dropout and compare model performance. e. Retrain your model using some learning rate scheduling, e.g., 1cycle scheduling, and to compare whether it improves training speed and model accuracy.
trainingdnn-xpt3leay.docx
Answered 2 days AfterMar 08, 2021

Answer To: 1. (25%) There are many activations utilized in DL, e.g., sigmoid, ReLU, SeLU, etc. Can you compare...

Ayush answered on Mar 11 2021
146 Votes
Answer-1-2-3/answer-1-2-3-kj4okfdb.docx
Answer 1 :
Activation function can be defined as the mathematical function which is attached to each neuron in the network, and determines whether it should be activated (“fired”) or not.
Sigmoid function :
Pros :
Output values lie between 0 and 1.
In this function prediction is clear and understandable.
Gradient is smooth in sigmoid activation function.
Cons:
One main problem with sigmoid function is vanishing gradients.
It is computationally expensive as compared to other activation functions.
It is not zero centered.
Application :
It is used when we have to find the probability i.e 0 or 1 (or say Yes or No).
ReLU ( Rectified Linear Unit)
Pros :
It is computationally efficient as compared to other algorithms.
It is non-linear in nature as it helps in performing backpropagation efficiently.
Avoids the vanishing gradient
Cons :
The main problem with ReLU activation function is dying relu, in this problem when input comes near to zero, or they become negative the gradient becomes zero.
It does not avoid the exploding gradient problem.
Application :
ReLU is used in almost all the convolutional neural networks or deep learning.
It is used to increase the non-linearity
Leaky ReLU :
Pros :
It solves the Dying ReLU problem.
It works like the ReLU function for all other cases.
Cons :
It does not provide consistent predictions of negative values.
It is computationally expensive as compared to ReLU.
It doesn't learn the alpha value.
It also does not avoid the exploding gradient problem.
Application :
Leaky relu handles the dying relu problem efficiently as it does not have a zero slope problem.
SeLU ( Scaled Exponential Linear Unit) :
Pros:
It allows us to construct a mapping which leads to self-normalizing neural networks.
Internal normalization is faster as compared to external normalization, which means the neural network model converges faster.
Exploding gradient and Vanishing Gradient does not occur here.
Cons:
It is a new activation function and it requires more exploration.
Application :
We can use the SeLU activation function when we have a vanishing or exploding gradient problem.
Answer 2 :
Overfitting comes into picture when a model performs well on an input dataset (or say training set) and it performs poorly on the dataset on which it has not been trained (or say test set).
Following are the methods using which we can prevent the overfitting.
1 : Using the Regularization technique :
Regularization adds extra variables in the algorithm (or say formula) which adds penalty to loss function and it also helps in reducing the complexity .
Basically there are 2 most common type of regularizations :
L1 Regularization : The main aim of the L1 regularization is to add penalty to cost function by adding a parameter called absolute value of weight.
Weight Decay (or say L2 Regularization) : The main aim of the L2 regularization is to add penalty to cost function by adding a parameter called squared magnitude of the weight .
The main aim of L2 regularization is to minimize the squared magnitude of the weights.
2 : Using the Data Augmentation technique :
Data augmentation basically means to form a new dataset using the dataset we currently have with us by using some technique like flipping , translation, varying brightness/pixels ,zoom cropping etc.
3 : Early Stopping .
Early stopping is the technique which helps to stop the further iteration when the training model starts to overfit the dataset.It is also a kind of regularization technique and can be used with different types of problems.
Ans 3 :
Normalization is used when a dataset whose value varies a lot in terms of range, it makes learning hard and is also computationally very expensive.
Normalization helps to make networks learning more flexible.
In deep learning we use different type of normalizations techniques like :
Batch Normalization :
When we have millions and billions of training examples then it becomes quite hard to train the model, in that case batch normalization proves very handy as it reduces the complexity of the deep neural network models.
Batch normalization takes a greater learning rate compared to others and it also helps in regularization.
It also helps to reduce the internal covariate shift which makes the algorithm computationally more stable and fast.
Advantages :
Batch normalization helps in faster and efficient computing by reducing the internal covariate shift.
Batch Normalization also removes the need for the dropout technique.
Weight Normalization :
Weight normalization is the technique in which the reparameterization of the weight vectors takes place in the deep neural networks or we can also say that it is a technique which helps to improve the optimisability of the model to much greater extent.
Advantages of weight Normalizations :
It is less noisy as compared to the batch normalization technique and also helps in speeding the convergence of the stochastic gradient descent.
It can also be used with recurrent models like LSTMs , deep reinforcement learning or the generative models.
Note :
Training a deep neural network (DNN) model with Weight Normalization is a bit less stable compared to the batch normalization and it is not as popular as Batch Normalization and Weight Normalization is also not used widely as compared to Batch Normalization.
Answer-4/California_data.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Importing the required libraries"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"# Reading dataset"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
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"
longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomemedian_house_valueocean_proximity
0-122.2337.8841.0880.0129.0322.0126.08.3252452600.0NEAR BAY
1-122.2237.8621.07099.01106.02401.01138.08.3014358500.0NEAR BAY
2-122.2437.8552.01467.0190.0496.0177.07.2574352100.0NEAR BAY
3-122.2537.8552.01274.0235.0558.0219.05.6431341300.0NEAR BAY
4-122.2537.8552.01627.0280.0565.0259.03.8462342200.0NEAR BAY
\n",
"
"
],
"text/plain": [
" longitude latitude housing_median_age total_rooms total_bedrooms \\\n",
"0 -122.23 37.88 41.0 880.0 129.0 \n",
"1 -122.22 37.86 21.0 7099.0 1106.0 \n",
"2 -122.24 37.85 52.0 1467.0 190.0 \n",
"3 -122.25 37.85 52.0 1274.0 235.0 \n",
"4 -122.25 37.85 52.0 1627.0 280.0 \n",
"\n",
" population households median_income median_house_value ocean_proximity \n",
"0 322.0 126.0 8.3252 452600.0 NEAR BAY \n",
"1 2401.0 1138.0 8.3014 358500.0 NEAR BAY \n",
"2 496.0 177.0 7.2574 352100.0 NEAR BAY \n",
"3 558.0 219.0 5.6431 341300.0 NEAR BAY \n",
"4 565.0 259.0 3.8462 342200.0 NEAR BAY "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"housing.csv\")\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"# getting the shape of the dataset"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(20640, 10)"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"# getting the all unique values present in the ocean_proximity object."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'}"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"set(df['ocean_proximity'].values)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"# also getting the number of time they occured in the column"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<1H OCEAN 9136\n",
"INLAND 6551\n",
"NEAR OCEAN 2658\n",
"NEAR BAY 2290\n",
"ISLAND 5\n",
"Name: ocean_proximity, dtype: int64"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['ocean_proximity'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"# Dropping the ocean_proximity column"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['longitude', 'latitude', 'housing_median_age', 'total_rooms',\n",
" 'total_bedrooms', 'population', 'households', 'median_income',\n",
" 'median_house_value'],\n",
" dtype='object')"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dropna(inplace=True)\n",
"df=df.drop('ocean_proximity', axis=1)\n",
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"# describe the dataset"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
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"
longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomemedian_house_value
count20433.00000020433.00000020433.00000020433.00000020433.00000020433.00000020433.00000020433.00000020433.000000
mean-119.57068935.63322128.6330942636.504233537.8705531424.946949499.4334653.871162206864.413155
std2.0035782.13634812.5918052185.269567421.3850701133.208490382.2992261.899291115435.667099
min-124.35000032.5400001.0000002.0000001.0000003.0000001.0000000.49990014999.000000
25%-121.80000033.93000018.0000001450.000000296.000000787.000000280.0000002.563700119500.000000
50%-118.49000034.26000029.0000002127.000000435.0000001166.000000409.0000003.536500179700.000000
75%-118.01000037.72000037.0000003143.000000647.0000001722.000000604.0000004.744000264700.000000
max-114.31000041.95000052.00000039320.0000006445.00000035682.0000006082.00000015.000100500001.000000
\n",
"
"
],
"text/plain": [
" longitude latitude housing_median_age total_rooms \\\n",
"count 20433.000000 20433.000000 20433.000000 20433.000000 \n",
"mean -119.570689 35.633221 28.633094 2636.504233 \n",
"std 2.003578 2.136348 12.591805 2185.269567 \n",
"min -124.350000 32.540000 1.000000 2.000000 \n",
"25% -121.800000 33.930000 18.000000 1450.000000 \n",
"50% -118.490000 34.260000 29.000000 2127.000000 \n",
"75% -118.010000 37.720000 37.000000 3143.000000 \n",
"max -114.310000 41.950000 52.000000 39320.000000 \n",
"\n",
" total_bedrooms population households median_income \\\n",
"count 20433.000000 20433.000000 20433.000000 20433.000000 \n",
"mean 537.870553 1424.946949 499.433465 3.871162 \n",
"std 421.385070 1133.208490 382.299226 1.899291 \n",
"min 1.000000 3.000000 1.000000 0.499900 \n",
"25% 296.000000 787.000000 280.000000 2.563700 \n",
"50% 435.000000 1166.000000 409.000000 3.536500 \n",
"75% 647.000000 1722.000000 604.000000 4.744000 \n",
"max 6445.000000 35682.000000 6082.000000 15.000100 \n",
"\n",
" median_house_value \n",
"count 20433.000000 \n",
"mean 206864.413155 \n",
"std 115435.667099 \n",
"min 14999.000000 \n",
"25% 119500.000000 \n",
"50% 179700.000000 \n",
"75% 264700.000000 \n",
"max 500001.000000 "
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"# Getting the information about whole dataset"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Int64Index: 20433 entries, 0 to 20639\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 longitude 20433 non-null float64\n",
" 1 latitude 20433 non-null float64\n",
" 2 housing_median_age 20433 non-null float64\n",
" 3 total_rooms 20433 non-null float64\n",
" 4 total_bedrooms 20433 non-null float64\n",
" 5 population 20433 non-null float64\n",
" 6 households 20433 non-null float64\n",
" 7 median_income 20433 non-null float64\n",
" 8 median_house_value 20433 non-null float64\n",
"dtypes: float64(9)\n",
"memory usage: 1.6 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"# Checking for the missing values"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"longitude 0\n",
"latitude 0\n",
"housing_median_age 0\n",
"total_rooms 0\n",
"total_bedrooms 0\n",
"population 0\n",
"households 0\n",
"median_income 0\n",
"median_house_value 0\n",
"dtype: int64"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.isnull().sum()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"# Visualizing the missing value"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.heatmap(df.isnull())"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"# Getting the correlation between whole dataset in tabular form"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"
longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomemedian_house_value
longitude1.000000-0.924616-0.1093570.0454800.0696080.1002700.056513-0.015550-0.045398
latitude-0.9246161.0000000.011899-0.036667-0.066983-0.108997-0.071774-0.079626-0.144638
housing_median_age-0.1093570.0118991.000000-0.360628-0.320451-0.295787-0.302768-0.1182780.106432
total_rooms0.045480-0.036667-0.3606281.0000000.9303800.8572810.9189920.1978820.133294
total_bedrooms0.069608-0.066983-0.3204510.9303801.0000000.8777470.979728-0.0077230.049686
population0.100270-0.108997-0.2957870.8572810.8777471.0000000.9071860.005087-0.025300
households0.056513-0.071774-0.3027680.9189920.9797280.9071861.0000000.0134340.064894
median_income-0.015550-0.079626-0.1182780.197882-0.0077230.0050870.0134341.0000000.688355
median_house_value-0.045398-0.1446380.1064320.1332940.049686-0.0253000.0648940.6883551.000000
\n",
"
"
],
"text/plain": [
" longitude latitude housing_median_age total_rooms \\\n",
"longitude 1.000000 -0.924616 -0.109357 0.045480 \n",
"latitude -0.924616 1.000000 0.011899 -0.036667 \n",
"housing_median_age -0.109357 0.011899 1.000000 -0.360628 \n",
"total_rooms 0.045480 -0.036667 -0.360628 1.000000 \n",
"total_bedrooms 0.069608 -0.066983 -0.320451 0.930380 \n",
"population 0.100270 -0.108997 -0.295787 0.857281 \n",
"households 0.056513 -0.071774 -0.302768 0.918992 \n",
"median_income -0.015550 -0.079626 -0.118278 0.197882 \n",
"median_house_value -0.045398 -0.144638 0.106432 0.133294 \n",
"\n",
" total_bedrooms population households median_income \\\n",
"longitude 0.069608 0.100270 0.056513 -0.015550 \n",
"latitude -0.066983 -0.108997 -0.071774 -0.079626 \n",
"housing_median_age -0.320451 -0.295787 -0.302768 -0.118278 \n",
"total_rooms 0.930380 0.857281 0.918992 0.197882 \n",
"total_bedrooms 1.000000 0.877747 0.979728 -0.007723 \n",
"population 0.877747 1.000000 0.907186 0.005087 \n",
"households 0.979728 0.907186 1.000000 0.013434 \n",
"median_income -0.007723 0.005087 0.013434 1.000000 \n",
"median_house_value 0.049686 -0.025300 0.064894 0.688355 \n",
"\n",
" median_house_value \n",
"longitude -0.045398 \n",
"latitude -0.144638 \n",
"housing_median_age 0.106432 \n",
"total_rooms 0.133294 \n",
"total_bedrooms 0.049686 \n",
"population -0.025300 \n",
"households 0.064894 \n",
"median_income 0.688355 \n",
"median_house_value 1.000000 "
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.corr()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.heatmap(df.corr(), annot=True)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(x = 'longitude', y='latitude', data=df, hue='median_house_value')"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(df['median_house_value'])"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"X = df.drop('median_house_value', axis=1)\n",
"y = df['median_house_value']"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(\n",
"... X, y, test_size=0.33, random_state=42)"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.preprocessing import MinMaxScaler\n",
"scaler = MinMaxScaler()\n",
"X_train = scaler.fit_transform(X_train)\n",
"X_test = scaler.transform(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.layers import Dense\n",
"from tensorflow.keras.optimizers import Adam\n",
"from tensorflow.keras.layers import Dropout"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"model = Sequential()"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"model.add(Dense(16, activation='relu'))\n",
"model.add(Dropout(0.2))\n",
"\n",
"\n",
"model.add(Dense(8, activation='relu'))\n",
"model.add(Dropout(0.2))\n",
"\n",
"\n",
"model.add(Dense(5, activation='relu'))\n",
"model.add(Dropout(0.2))\n",
"\n",
"model.add(Dense(1))\n",
"\n",
"model.compile(optimizer='adam', loss='mse')"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.keras.callbacks import EarlyStopping"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train on 13690 samples, validate on 6743 samples\n",
"Epoch 1/200\n",
"13690/13690 [==============================] - 1s 92us/sample - loss: 56390893002.5186 - val_loss: 55562358330.2388\n",
"Epoch 2/200\n",
"13690/13690 [==============================] - 0s 31us/sample - loss: 56389846198.3603 - val_loss: 55559429412.6365\n",
"Epoch 3/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 56379659984.3156 - val_loss: 55536893616.0830\n",
"Epoch 4/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 56330911446.0003 - val_loss: 55454436488.5232\n",
"Epoch 5/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 56197370547.1439 - val_loss: 55263430423.6524\n",
"Epoch 6/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 55924601655.9871 - val_loss: 54888612783.3617\n",
"Epoch 7/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 55381053872.6381 - val_loss: 54156324002.0359\n",
"Epoch 8/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 54418396494.9505 - val_loss: 52956986465.0393\n",
"Epoch 9/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 52929512248.5855 - val_loss: 51209200035.7443\n",
"Epoch 10/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 50900828283.2690 - val_loss: 48838072212.7860\n",
"Epoch 11/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 48147102870.9446 - val_loss: 45667036370.6315\n",
"Epoch 12/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 44684881633.3698 - val_loss: 41812643302.4114\n",
"Epoch 13/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 40583476059.8907 - val_loss: 37431893386.3835\n",
"Epoch 14/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 36166712507.1474 - val_loss: 32752393110.7602\n",
"Epoch 15/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 31596224665.1886 - val_loss: 28098322485.1514\n",
"Epoch 16/200\n",
"13690/13690 [==============================] - 0s 32us/sample - loss: 27727180967.9988 - val_loss: 23878098600.1863\n",
"Epoch 17/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 24025076528.8064 - val_loss: 20173914992.1875\n",
"Epoch 18/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 21299484769.8373 - val_loss: 17260682109.8550\n",
"Epoch 19/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 19365600423.1012 - val_loss: 15260223542.9738\n",
"Epoch 20/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 18287576249.5018 - val_loss: 14036342458.1059\n",
"Epoch 21/200\n",
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"Epoch 22/200\n",
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"Epoch 23/200\n",
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"Epoch 24/200\n",
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"Epoch 25/200\n",
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"Epoch 26/200\n",
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"Epoch 27/200\n",
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"Epoch 28/200\n",
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"Epoch 29/200\n",
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"Epoch 30/200\n",
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"Epoch 31/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 16921095277.0571 - val_loss: 12299264013.6675\n",
"Epoch 32/200\n",
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"Epoch 33/200\n",
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"Epoch 34/200\n",
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"Epoch 35/200\n",
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"Epoch 36/200\n",
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"Epoch 37/200\n",
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"Epoch 38/200\n",
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"Epoch 39/200\n",
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"Epoch 40/200\n",
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"Epoch 41/200\n",
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"Epoch 42/200\n",
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"Epoch 43/200\n",
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"Epoch 44/200\n",
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"Epoch 45/200\n",
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"Epoch 46/200\n",
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"Epoch 47/200\n",
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"Epoch 48/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 16045321352.1344 - val_loss: 11534845376.7498\n",
"Epoch 49/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 15913310800.7083 - val_loss: 11490045322.9910\n",
"Epoch 50/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15844756998.3579 - val_loss: 11407743418.8272\n",
"Epoch 51/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 16081195666.2323 - val_loss: 11423116506.8320\n",
"Epoch 52/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15890271767.8609 - val_loss: 11340149587.7894\n",
"Epoch 53/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15801091684.6048 - val_loss: 11279595951.4376\n",
"Epoch 54/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15722300089.4270 - val_loss: 11196206692.9118\n",
"Epoch 55/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15677844905.9062 - val_loss: 11144049154.8854\n",
"Epoch 56/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15604575782.3720 - val_loss: 11083702788.6318\n",
"Epoch 57/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15572617286.0120 - val_loss: 11092368311.1066\n",
"Epoch 58/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15663233945.2260 - val_loss: 11022996750.7685\n",
"Epoch 59/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15426314881.6269 - val_loss: 10911296419.2128\n",
"Epoch 60/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15272448694.8839 - val_loss: 10901930146.1877\n",
"Epoch 61/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 15302454187.1778 - val_loss: 10843508869.1823\n",
"Epoch 62/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15460137378.7255 - val_loss: 10781445288.5659\n",
"Epoch 63/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 15245991193.3943 - val_loss: 10720271489.0820\n",
"Epoch 64/200\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"13690/13690 [==============================] - 1s 52us/sample - loss: 15239281776.9467 - val_loss: 10648221888.4081\n",
"Epoch 65/200\n",
"13690/13690 [==============================] - 1s 51us/sample - loss: 15172645755.7551 - val_loss: 10600475326.5099\n",
"Epoch 66/200\n",
"13690/13690 [==============================] - 1s 51us/sample - loss: 14616451989.7852 - val_loss: 10507683817.2208\n",
"Epoch 67/200\n",
"13690/13690 [==============================] - 1s 49us/sample - loss: 15045729463.7066 - val_loss: 10440974246.7056\n",
"Epoch 68/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14872116701.6672 - val_loss: 10440924801.0061\n",
"Epoch 69/200\n",
"13690/13690 [==============================] - 1s 50us/sample - loss: 14903496602.5724 - val_loss: 10337203343.2051\n",
"Epoch 70/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14882158466.1879 - val_loss: 10245532140.1821\n",
"Epoch 71/200\n",
"13690/13690 [==============================] - 1s 48us/sample - loss: 14791691903.2333 - val_loss: 10151198043.6103\n",
"Epoch 72/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14934521760.2571 - val_loss: 10089370654.2204\n",
"Epoch 73/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14585891682.0243 - val_loss: 10043759831.4910\n",
"Epoch 74/200\n",
"13690/13690 [==============================] - 1s 42us/sample - loss: 14656485706.6121 - val_loss: 10025398198.1955\n",
"Epoch 75/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 14425200190.6069 - val_loss: 9889387037.2333\n",
"Epoch 76/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 14225315586.8798 - val_loss: 9810295992.0558\n",
"Epoch 77/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14252737991.3771 - val_loss: 9763502269.2190\n",
"Epoch 78/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 14426033847.0335 - val_loss: 9676554763.4655\n",
"Epoch 79/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 14174742797.8752 - val_loss: 9574103258.8320\n",
"Epoch 80/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 14123749074.2603 - val_loss: 9458007156.5535\n",
"Epoch 81/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 14126257570.8751 - val_loss: 9449177888.7641\n",
"Epoch 82/200\n",
"13690/13690 [==============================] - 1s 42us/sample - loss: 13798040001.5427 - val_loss: 9382792933.9938\n",
"Epoch 83/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13950147810.6413 - val_loss: 9275474860.6282\n",
"Epoch 84/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 14130278524.7649 - val_loss: 9154057394.5888\n",
"Epoch 85/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13472511803.1287 - val_loss: 9049476138.5211\n",
"Epoch 86/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13522386757.6006 - val_loss: 8989736633.6503\n",
"Epoch 87/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13493994906.4976 - val_loss: 8914809433.0666\n",
"Epoch 88/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13680051722.8459 - val_loss: 8851801919.5159\n",
"Epoch 89/200\n",
"13690/13690 [==============================] - 1s 42us/sample - loss: 13591705821.2558 - val_loss: 8738445483.1476\n",
"Epoch 90/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 13405029527.8422 - val_loss: 8671100097.9267\n",
"Epoch 91/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 13344967453.9570 - val_loss: 8532127865.4890\n",
"Epoch 92/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12941114214.0634 - val_loss: 8484900354.1261\n",
"Epoch 93/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13013988566.8231 - val_loss: 8393191668.6484\n",
"Epoch 94/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 13082290100.3033 - val_loss: 8301205476.8168\n",
"Epoch 95/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12798023160.4453 - val_loss: 8187601052.9485\n",
"Epoch 96/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 13038783349.0232 - val_loss: 8099426450.7738\n",
"Epoch 97/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12719440644.6749 - val_loss: 8017303056.4769\n",
"Epoch 98/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12598476136.5318 - val_loss: 7968959555.5782\n",
"Epoch 99/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 12702845437.0828 - val_loss: 7835697808.7237\n",
"Epoch 100/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 12626721125.6894 - val_loss: 7748875348.8145\n",
"Epoch 101/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 12338514333.4896 - val_loss: 7671189566.2631\n",
"Epoch 102/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 12543638217.8828 - val_loss: 7591711061.6117\n",
"Epoch 103/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12276453973.4954 - val_loss: 7542176585.0073\n",
"Epoch 104/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 12281077225.9343 - val_loss: 7477306664.5849\n",
"Epoch 105/200\n",
"13690/13690 [==============================] - 1s 48us/sample - loss: 12131451579.5214 - val_loss: 7412637439.5824\n",
"Epoch 106/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 12101888047.2730 - val_loss: 7313712539.3160\n",
"Epoch 107/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11945281601.6736 - val_loss: 7227668046.1326\n",
"Epoch 108/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11934008451.4969 - val_loss: 7235545835.4608\n",
"Epoch 109/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11859502156.1455 - val_loss: 7102710361.6740\n",
"Epoch 110/200\n",
"13690/13690 [==============================] - 1s 48us/sample - loss: 12070555751.8212 - val_loss: 7101200007.5361\n",
"Epoch 111/200\n",
"13690/13690 [==============================] - 1s 45us/sample - loss: 11668021312.3272 - val_loss: 6995040827.1499\n",
"Epoch 112/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 11796493385.6023 - val_loss: 7029034379.5984\n",
"Epoch 113/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11703114635.1638 - val_loss: 6965130265.5886\n",
"Epoch 114/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11811977477.6473 - val_loss: 6865966787.5213\n",
"Epoch 115/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 11830995472.9794 - val_loss: 6800685719.9371\n",
"Epoch 116/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11953919324.7135 - val_loss: 6851058818.7525\n",
"Epoch 117/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11335814566.9142 - val_loss: 6769630389.7778\n",
"Epoch 118/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11533694524.8117 - val_loss: 6775631650.2827\n",
"Epoch 119/200\n",
"13690/13690 [==============================] - 1s 53us/sample - loss: 11638040783.1936 - val_loss: 6696448437.9677\n",
"Epoch 120/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 11519566524.1198 - val_loss: 6663782715.5676\n",
"Epoch 121/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11672962992.1145 - val_loss: 6598207805.6177\n",
"Epoch 122/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11457936340.0181 - val_loss: 6676331251.1298\n",
"Epoch 123/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11328311862.9774 - val_loss: 6543657156.2047\n",
"Epoch 124/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11680425001.1395 - val_loss: 6601289553.5874\n",
"Epoch 125/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11404824496.1145 - val_loss: 6565755839.4590\n",
"Epoch 126/200\n",
"13690/13690 [==============================] - 1s 54us/sample - loss: 11206764878.3521 - val_loss: 6515224742.8195\n",
"Epoch 127/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11576462660.3290 - val_loss: 6487866136.5635\n"
]
},
{
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"output_type": "stream",
"text": [
"Epoch 128/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11592779212.9122 - val_loss: 6512694252.4099\n",
"Epoch 129/200\n",
"13690/13690 [==============================] - 1s 52us/sample - loss: 11300102820.6329 - val_loss: 6462475155.2674\n",
"Epoch 130/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 11388129575.9053 - val_loss: 6485053357.6912\n",
"Epoch 131/200\n",
"13690/13690 [==============================] - 1s 49us/sample - loss: 11615441814.9820 - val_loss: 6470206740.0077\n",
"Epoch 132/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11397743640.6837 - val_loss: 6440090275.3267\n",
"Epoch 133/200\n",
"13690/13690 [==============================] - 1s 49us/sample - loss: 11683010002.8961 - val_loss: 6520443234.1403\n",
"Epoch 134/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 11660463208.1204 - val_loss: 6442349777.5684\n",
"Epoch 135/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11180139263.2894 - val_loss: 6386285145.8259\n",
"Epoch 136/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11460970798.0389 - val_loss: 6396231593.5151\n",
"Epoch 137/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 11458370619.0913 - val_loss: 6386672729.2944\n",
"Epoch 138/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 11307670417.8957 - val_loss: 6420264588.5475\n",
"Epoch 139/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11434110850.0383 - val_loss: 6410442128.7617\n",
"Epoch 140/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 11441985613.6415 - val_loss: 6388598216.7225\n",
"Epoch 141/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11153166022.7413 - val_loss: 6360542380.8940\n",
"Epoch 142/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11549944716.5102 - val_loss: 6371807846.5063\n",
"Epoch 143/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11502566067.2935 - val_loss: 6415309541.2345\n",
"Epoch 144/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11246537762.4076 - val_loss: 6309864260.9829\n",
"Epoch 145/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 11118822228.7100 - val_loss: 6342368203.2282\n",
"Epoch 146/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11423246872.1601 - val_loss: 6346144381.8170\n",
"Epoch 147/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11164207741.5877 - val_loss: 6329005558.5846\n",
"Epoch 148/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11238298866.6484 - val_loss: 6326639881.0357\n",
"Epoch 149/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11476051354.9464 - val_loss: 6370281790.3770\n",
"Epoch 150/200\n",
"13690/13690 [==============================] - 1s 49us/sample - loss: 11071252008.0175 - val_loss: 6304492627.2199\n",
"Epoch 151/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11445912810.2709 - val_loss: 6317380200.1008\n",
"Epoch 152/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11052352372.8736 - val_loss: 6290201575.8541\n",
"Epoch 153/200\n",
"13690/13690 [==============================] - 1s 38us/sample - loss: 11372415586.3608 - val_loss: 6386305685.3555\n",
"Epoch 154/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11129504440.8286 - val_loss: 6312084894.1255\n",
"Epoch 155/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11239198016.2898 - val_loss: 6366306197.8870\n",
"Epoch 156/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11499475618.5385 - val_loss: 6304397088.6122\n",
"Epoch 157/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11250924518.2691 - val_loss: 6293628099.8250\n",
"Epoch 158/200\n",
"13690/13690 [==============================] - 1s 42us/sample - loss: 11132408820.0321 - val_loss: 6315476593.9718\n",
"Epoch 159/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11353578223.5816 - val_loss: 6317188404.4301\n",
"Epoch 160/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11425416045.2441 - val_loss: 6289176218.8984\n",
"Epoch 161/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11075908836.7357 - val_loss: 6220726850.8189\n",
"Epoch 162/200\n",
"13690/13690 [==============================] - 1s 48us/sample - loss: 11199131684.8012 - val_loss: 6262055124.3779\n",
"Epoch 163/200\n",
"13690/13690 [==============================] - 1s 51us/sample - loss: 11108676507.8440 - val_loss: 6296414413.5441\n",
"Epoch 164/200\n",
"13690/13690 [==============================] - 1s 47us/sample - loss: 11322975236.7871 - val_loss: 6203292254.4577\n",
"Epoch 165/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11144508678.2457 - val_loss: 6305112618.9008\n",
"Epoch 166/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11268658691.2164 - val_loss: 6276821294.8112\n",
"Epoch 167/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11126706953.6117 - val_loss: 6232749670.4304\n",
"Epoch 168/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11224238254.8804 - val_loss: 6244142737.0274\n",
"Epoch 169/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11374144485.5211 - val_loss: 6185593796.2426\n",
"Epoch 170/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11131265580.8047 - val_loss: 6180983332.9782\n",
"Epoch 171/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11078201456.6475 - val_loss: 6196690493.4279\n",
"Epoch 172/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11220194940.9893 - val_loss: 6287925930.5781\n",
"Epoch 173/200\n",
"13690/13690 [==============================] - 1s 40us/sample - loss: 11344410318.8196 - val_loss: 6179666003.2199\n",
"Epoch 174/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11329551708.2647 - val_loss: 6214936315.7859\n",
"Epoch 175/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11227555680.3787 - val_loss: 6180594181.3911\n",
"Epoch 176/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11044295482.5303 - val_loss: 6197685131.6743\n",
"Epoch 177/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11229409399.3794 - val_loss: 6164926062.8587\n",
"Epoch 178/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 11141453883.0913 - val_loss: 6235424960.4081\n",
"Epoch 179/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11106999838.5928 - val_loss: 6209497250.6433\n",
"Epoch 180/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11400984240.1519 - val_loss: 6204840667.6672\n",
"Epoch 181/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 11152369488.0725 - val_loss: 6250455092.4680\n",
"Epoch 182/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 11316123204.7404 - val_loss: 6250787428.7599\n",
"Epoch 183/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11202989681.1711 - val_loss: 6153782058.8628\n",
"Epoch 184/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11208408606.4432 - val_loss: 6226887380.3019\n",
"Epoch 185/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 11189624886.7530 - val_loss: 6248551596.5143\n",
"Epoch 186/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11456416464.9140 - val_loss: 6132285329.5969\n",
"Epoch 187/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11083321289.6958 - val_loss: 6211867182.4695\n",
"Epoch 188/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11001710540.2390 - val_loss: 6137375457.5139\n",
"Epoch 189/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 10956426206.1908 - val_loss: 6069966886.4968\n",
"Epoch 190/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11151022308.5861 - val_loss: 6124748927.2597\n",
"Epoch 191/200\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"13690/13690 [==============================] - 1s 42us/sample - loss: 11049901947.3064 - val_loss: 6183006042.1676\n",
"Epoch 192/200\n",
"13690/13690 [==============================] - 1s 39us/sample - loss: 10993457367.2719 - val_loss: 6119256226.2637\n",
"Epoch 193/200\n",
"13690/13690 [==============================] - 1s 42us/sample - loss: 11191024220.2273 - val_loss: 6150218119.0426\n",
"Epoch 194/200\n",
"13690/13690 [==============================] - 1s 44us/sample - loss: 11366489724.8397 - val_loss: 6120244694.6178\n",
"Epoch 195/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11051655822.0435 - val_loss: 6118068175.4803\n",
"Epoch 196/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 10918972943.3338 - val_loss: 6130548135.3890\n",
"Epoch 197/200\n",
"13690/13690 [==============================] - 1s 46us/sample - loss: 10884256323.2444 - val_loss: 6088818428.1655\n",
"Epoch 198/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 11189229991.9614 - val_loss: 6154267307.3754\n",
"Epoch 199/200\n",
"13690/13690 [==============================] - 1s 43us/sample - loss: 10911477575.3958 - val_loss: 6168513894.5443\n",
"Epoch 00199: early stopping\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"early_stop = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=10)\n",
"model.fit(x=X_train,y=y_train.values,\n",
" validation_data=(X_test,y_test.values),\n",
" batch_size=128,epochs=200, callbacks=[early_stop])"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"losses = pd.DataFrame(model.history.history)\n",
"losses.plot()"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"54965.83955569086"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
"predictions = model.predict(X_test)\n",
"\n",
"mean_absolute_error(y_test, predictions)\n"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"78539.88721171948"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.sqrt(mean_squared_error(y_test, predictions))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
Answer-4/housing.csv
longitude,latitude,housing_median_age,total_rooms,total_bedrooms,population,households,median_income,median_house_value,ocean_proximity
-122.23,37.88,41.0,880.0,129.0,322.0,126.0,8.3252,452600.0,NEAR BAY
-122.22,37.86,21.0,7099.0,1106.0,2401.0,1138.0,8.3014,358500.0,NEAR BAY
-122.24,37.85,52.0,1467.0,190.0,496.0,177.0,7.2574,352100.0,NEAR BAY
-122.25,37.85,52.0,1274.0,235.0,558.0,219.0,5.6431,341300.0,NEAR BAY
-122.25,37.85,52.0,1627.0,280.0,565.0,259.0,3.8462,342200.0,NEAR BAY
-122.25,37.85,52.0,919.0,213.0,413.0,193.0,4.0368,269700.0,NEAR BAY
-122.25,37.84,52.0,2535.0,489.0,1094.0,514.0,3.6591,299200.0,NEAR BAY
-122.25,37.84,52.0,3104.0,687.0,1157.0,647.0,3.12,241400.0,NEAR BAY
-122.26,37.84,42.0,2555.0,665.0,1206.0,595.0,2.0804,226700.0,NEAR BAY
-122.25,37.84,52.0,3549.0,707.0,1551.0,714.0,3.6912,261100.0,NEAR BAY
-122.26,37.85,52.0,2202.0,434.0,910.0,402.0,3.2031,281500.0,NEAR BAY
-122.26,37.85,52.0,3503.0,752.0,1504.0,734.0,3.2705,241800.0,NEAR BAY
-122.26,37.85,52.0,2491.0,474.0,1098.0,468.0,3.075,213500.0,NEAR BAY
-122.26,37.84,52.0,696.0,191.0,345.0,174.0,2.6736,191300.0,NEAR BAY
-122.26,37.85,52.0,2643.0,626.0,1212.0,620.0,1.9167,159200.0,NEAR BAY
-122.26,37.85,50.0,1120.0,283.0,697.0,264.0,2.125,140000.0,NEAR BAY
-122.27,37.85,52.0,1966.0,347.0,793.0,331.0,2.775,152500.0,NEAR BAY
-122.27,37.85,52.0,1228.0,293.0,648.0,303.0,2.1202,155500.0,NEAR BAY
-122.26,37.84,50.0,2239.0,455.0,990.0,419.0,1.9911,158700.0,NEAR BAY
-122.27,37.84,52.0,1503.0,298.0,690.0,275.0,2.6033,162900.0,NEAR BAY
-122.27,37.85,40.0,751.0,184.0,409.0,166.0,1.3578,147500.0,NEAR BAY
-122.27,37.85,42.0,1639.0,367.0,929.0,366.0,1.7135,159800.0,NEAR BAY
-122.27,37.84,52.0,2436.0,541.0,1015.0,478.0,1.725,113900.0,NEAR BAY
-122.27,37.84,52.0,1688.0,337.0,853.0,325.0,2.1806,99700.0,NEAR BAY
-122.27,37.84,52.0,2224.0,437.0,1006.0,422.0,2.6,132600.0,NEAR BAY
-122.28,37.85,41.0,535.0,123.0,317.0,119.0,2.4038,107500.0,NEAR BAY
-122.28,37.85,49.0,1130.0,244.0,607.0,239.0,2.4597,93800.0,NEAR BAY
-122.28,37.85,52.0,1898.0,421.0,1102.0,397.0,1.808,105500.0,NEAR BAY
-122.28,37.84,50.0,2082.0,492.0,1131.0,473.0,1.6424,108900.0,NEAR BAY
-122.28,37.84,52.0,729.0,160.0,395.0,155.0,1.6875,132000.0,NEAR BAY
-122.28,37.84,49.0,1916.0,447.0,863.0,378.0,1.9274,122300.0,NEAR BAY
-122.28,37.84,52.0,2153.0,481.0,1168.0,441.0,1.9615,115200.0,NEAR BAY
-122.27,37.84,48.0,1922.0,409.0,1026.0,335.0,1.7969,110400.0,NEAR BAY
-122.27,37.83,49.0,1655.0,366.0,754.0,329.0,1.375,104900.0,NEAR BAY
-122.27,37.83,51.0,2665.0,574.0,1258.0,536.0,2.7303,109700.0,NEAR BAY
-122.27,37.83,49.0,1215.0,282.0,570.0,264.0,1.4861,97200.0,NEAR BAY
-122.27,37.83,48.0,1798.0,432.0,987.0,374.0,1.0972,104500.0,NEAR BAY
-122.28,37.83,52.0,1511.0,390.0,901.0,403.0,1.4103,103900.0,NEAR BAY
-122.26,37.83,52.0,1470.0,330.0,689.0,309.0,3.48,191400.0,NEAR BAY
-122.26,37.83,52.0,2432.0,715.0,1377.0,696.0,2.5898,176000.0,NEAR BAY
-122.26,37.83,52.0,1665.0,419.0,946.0,395.0,2.0978,155400.0,NEAR BAY
-122.26,37.83,51.0,936.0,311.0,517.0,249.0,1.2852,150000.0,NEAR BAY
-122.26,37.84,49.0,713.0,202.0,462.0,189.0,1.025,118800.0,NEAR BAY
-122.26,37.84,52.0,950.0,202.0,467.0,198.0,3.9643,188800.0,NEAR BAY
-122.26,37.83,52.0,1443.0,311.0,660.0,292.0,3.0125,184400.0,NEAR BAY
-122.26,37.83,52.0,1656.0,420.0,718.0,382.0,2.6768,182300.0,NEAR BAY
-122.26,37.83,50.0,1125.0,322.0,616.0,304.0,2.026,142500.0,NEAR BAY
-122.27,37.82,43.0,1007.0,312.0,558.0,253.0,1.7348,137500.0,NEAR BAY
-122.26,37.82,40.0,624.0,195.0,423.0,160.0,0.9506,187500.0,NEAR BAY
-122.27,37.82,40.0,946.0,375.0,700.0,352.0,1.775,112500.0,NEAR BAY
-122.27,37.82,21.0,896.0,453.0,735.0,438.0,0.9218,171900.0,NEAR BAY
-122.27,37.82,43.0,1868.0,456.0,1061.0,407.0,1.5045,93800.0,NEAR BAY
-122.27,37.82,41.0,3221.0,853.0,1959.0,720.0,1.1108,97500.0,NEAR BAY
-122.27,37.82,52.0,1630.0,456.0,1162.0,400.0,1.2475,104200.0,NEAR BAY
-122.28,37.82,52.0,1170.0,235.0,701.0,233.0,1.6098,87500.0,NEAR BAY
-122.28,37.82,52.0,945.0,243.0,576.0,220.0,1.4113,83100.0,NEAR BAY
-122.28,37.82,52.0,1238.0,288.0,622.0,259.0,1.5057,87500.0,NEAR BAY
-122.28,37.82,52.0,1489.0,335.0,728.0,244.0,0.8172,85300.0,NEAR BAY
-122.28,37.82,52.0,1387.0,341.0,1074.0,304.0,1.2171,80300.0,NEAR BAY
-122.29,37.82,2.0,158.0,43.0,94.0,57.0,2.5625,60000.0,NEAR BAY
-122.29,37.83,52.0,1121.0,211.0,554.0,187.0,3.3929,75700.0,NEAR BAY
-122.29,37.82,49.0,135.0,29.0,86.0,23.0,6.1183,75000.0,NEAR BAY
-122.29,37.81,50.0,760.0,190.0,377.0,122.0,0.9011,86100.0,NEAR BAY
-122.3,37.81,52.0,1224.0,237.0,521.0,159.0,1.191,76100.0,NEAR BAY
-122.3,37.81,48.0,828.0,182.0,392.0,133.0,2.5938,73500.0,NEAR BAY
-122.3,37.81,52.0,1010.0,209.0,604.0,187.0,1.1667,78400.0,NEAR BAY
-122.3,37.81,48.0,1455.0,354.0,788.0,332.0,0.8056,84400.0,NEAR BAY
-122.29,37.8,52.0,1027.0,244.0,492.0,147.0,2.6094,81300.0,NEAR BAY
-122.3,37.81,52.0,572.0,109.0,274.0,82.0,1.8516,85000.0,NEAR BAY
-122.29,37.81,46.0,2801.0,644.0,1823.0,611.0,0.9802,129200.0,NEAR BAY
-122.29,37.81,26.0,768.0,152.0,392.0,127.0,1.7719,82500.0,NEAR BAY
-122.29,37.81,46.0,935.0,297.0,582.0,277.0,0.7286,95200.0,NEAR BAY
-122.29,37.81,49.0,844.0,204.0,560.0,152.0,1.75,75000.0,NEAR BAY
-122.29,37.81,46.0,12.0,4.0,18.0,7.0,0.4999,67500.0,NEAR BAY
-122.29,37.81,20.0,835.0,161.0,290.0,133.0,2.483,137500.0,NEAR BAY
-122.28,37.81,17.0,1237.0,462.0,762.0,439.0,0.9241,177500.0,NEAR BAY
-122.28,37.81,36.0,2914.0,562.0,1236.0,509.0,2.4464,102100.0,NEAR BAY
-122.28,37.81,19.0,1207.0,243.0,721.0,207.0,1.1111,108300.0,NEAR BAY
-122.29,37.81,23.0,1745.0,374.0,1054.0,325.0,0.8026,112500.0,NEAR BAY
-122.28,37.8,38.0,684.0,176.0,344.0,155.0,2.0114,131300.0,NEAR BAY
-122.28,37.81,17.0,924.0,289.0,609.0,289.0,1.5,162500.0,NEAR BAY
-122.27,37.81,52.0,210.0,56.0,183.0,56.0,1.1667,112500.0,NEAR BAY
-122.28,37.81,52.0,340.0,97.0,200.0,87.0,1.5208,112500.0,NEAR BAY
-122.28,37.81,52.0,386.0,164.0,346.0,155.0,0.8075,137500.0,NEAR BAY
-122.28,37.81,35.0,948.0,184.0,467.0,169.0,1.8088,118800.0,NEAR BAY
-122.28,37.81,52.0,773.0,143.0,377.0,115.0,2.4083,98200.0,NEAR BAY
-122.27,37.81,40.0,880.0,451.0,582.0,380.0,0.977,118800.0,NEAR BAY
-122.27,37.81,10.0,875.0,348.0,546.0,330.0,0.76,162500.0,NEAR BAY
-122.27,37.8,10.0,105.0,42.0,125.0,39.0,0.9722,137500.0,NEAR BAY
-122.27,37.8,52.0,249.0,78.0,396.0,85.0,1.2434,500001.0,NEAR BAY
-122.27,37.8,16.0,994.0,392.0,800.0,362.0,2.0938,162500.0,NEAR BAY
-122.28,37.8,52.0,215.0,87.0,904.0,88.0,0.8668,137500.0,NEAR BAY
-122.28,37.8,52.0,96.0,31.0,191.0,34.0,0.75,162500.0,NEAR BAY
-122.27,37.79,27.0,1055.0,347.0,718.0,302.0,2.6354,187500.0,NEAR BAY
-122.27,37.8,39.0,1715.0,623.0,1327.0,467.0,1.8477,179200.0,NEAR BAY
-122.26,37.8,36.0,5329.0,2477.0,3469.0,2323.0,2.0096,130000.0,NEAR BAY
-122.26,37.82,31.0,4596.0,1331.0,2048.0,1180.0,2.8345,183800.0,NEAR BAY
-122.26,37.81,29.0,335.0,107.0,202.0,91.0,2.0062,125000.0,NEAR BAY
-122.26,37.82,22.0,3682.0,1270.0,2024.0,1250.0,1.2185,170000.0,NEAR BAY
-122.26,37.82,37.0,3633.0,1085.0,1838.0,980.0,2.6104,193100.0,NEAR BAY
-122.25,37.81,29.0,4656.0,1414.0,2304.0,1250.0,2.4912,257800.0,NEAR BAY
-122.25,37.81,28.0,5806.0,1603.0,2563.0,1497.0,3.2177,273400.0,NEAR BAY
-122.25,37.81,39.0,854.0,242.0,389.0,228.0,3.125,237500.0,NEAR BAY
-122.25,37.81,52.0,2155.0,701.0,895.0,613.0,2.5795,350000.0,NEAR BAY
-122.26,37.81,34.0,5871.0,1914.0,2689.0,1789.0,2.8406,335700.0,NEAR BAY
-122.24,37.82,52.0,1509.0,225.0,674.0,244.0,4.9306,313400.0,NEAR BAY
-122.24,37.81,52.0,2026.0,482.0,709.0,456.0,3.2727,268500.0,NEAR BAY
-122.25,37.81,52.0,1758.0,460.0,686.0,422.0,3.1691,259400.0,NEAR BAY
-122.24,37.82,52.0,3481.0,751.0,1444.0,718.0,3.9,275700.0,NEAR BAY
-122.25,37.82,28.0,3337.0,855.0,1520.0,802.0,3.9063,225000.0,NEAR BAY
-122.25,37.82,52.0,1424.0,289.0,550.0,253.0,5.0917,262500.0,NEAR BAY
-122.25,37.82,32.0,3809.0,1098.0,1806.0,1022.0,2.6429,218500.0,NEAR BAY
-122.25,37.82,26.0,3959.0,1196.0,1749.0,1217.0,3.0233,255000.0,NEAR BAY
-122.25,37.83,52.0,2376.0,559.0,939.0,519.0,3.1484,224100.0,NEAR BAY
-122.25,37.83,35.0,1613.0,428.0,675.0,422.0,3.4722,243100.0,NEAR BAY
-122.25,37.83,52.0,1279.0,287.0,534.0,291.0,3.1429,231600.0,NEAR BAY
-122.25,37.83,28.0,5022.0,1750.0,2558.0,1661.0,2.4234,218500.0,NEAR BAY
-122.25,37.83,52.0,4190.0,1105.0,1786.0,1037.0,3.0897,234100.0,NEAR BAY
-122.23,37.84,50.0,2515.0,399.0,970.0,373.0,5.8596,327600.0,NEAR BAY
-122.23,37.84,47.0,3175.0,454.0,1098.0,485.0,5.2868,347600.0,NEAR BAY
-122.24,37.83,41.0,2576.0,406.0,794.0,376.0,5.956,366100.0,NEAR BAY
-122.24,37.85,37.0,334.0,54.0,98.0,47.0,4.9643,335000.0,NEAR BAY
-122.23,37.85,52.0,2800.0,411.0,1061.0,403.0,6.3434,373600.0,NEAR BAY
-122.24,37.84,52.0,3529.0,574.0,1177.0,555.0,5.1773,389500.0,NEAR BAY
-122.24,37.85,52.0,2612.0,365.0,901.0,367.0,7.2354,391100.0,NEAR BAY
-122.22,37.85,28.0,5287.0,1048.0,2031.0,956.0,5.457,337300.0,NEAR BAY
-122.22,37.84,50.0,2935.0,473.0,1031.0,479.0,7.5,295200.0,NEAR BAY
-122.21,37.84,44.0,3424.0,597.0,1358.0,597.0,6.0194,292300.0,NEAR BAY
-122.21,37.83,40.0,4991.0,674.0,1616.0,654.0,7.5544,411500.0,NEAR BAY
-122.2,37.84,30.0,2211.0,346.0,844.0,343.0,6.0666,311500.0,NEAR BAY
-122.21,37.84,34.0,3038.0,490.0,1140.0,496.0,7.0548,325900.0,NEAR BAY
-122.19,37.84,18.0,1617.0,210.0,533.0,194.0,11.6017,392600.0,NEAR BAY
-122.2,37.84,35.0,2865.0,460.0,1072.0,443.0,7.4882,319300.0,NEAR BAY
-122.21,37.83,34.0,5065.0,788.0,1627.0,766.0,6.8976,333300.0,NEAR BAY
-122.19,37.83,28.0,1326.0,184.0,463.0,190.0,8.2049,335200.0,NEAR BAY
-122.2,37.83,26.0,1589.0,223.0,542.0,211.0,8.401,351200.0,NEAR BAY
-122.19,37.83,29.0,1791.0,271.0,661.0,269.0,6.8538,368900.0,NEAR BAY
-122.19,37.82,32.0,1835.0,264.0,635.0,263.0,8.317,365900.0,NEAR BAY
-122.2,37.82,37.0,1229.0,181.0,420.0,176.0,7.0175,366700.0,NEAR BAY
-122.2,37.82,39.0,3770.0,534.0,1265.0,500.0,6.3302,362800.0,NEAR BAY
-122.18,37.81,30.0,292.0,38.0,126.0,52.0,6.3624,483300.0,NEAR BAY
-122.21,37.82,52.0,2375.0,333.0,813.0,350.0,7.0549,331400.0,NEAR BAY
-122.2,37.81,45.0,2964.0,436.0,1067.0,426.0,6.7851,323500.0,NEAR BAY
-122.21,37.8,50.0,2833.0,605.0,1260.0,552.0,2.8929,216700.0,NEAR BAY
-122.21,37.8,38.0,2254.0,535.0,951.0,487.0,3.0812,233100.0,NEAR BAY
-122.21,37.81,52.0,1389.0,212.0,510.0,224.0,5.2402,296400.0,NEAR BAY
-122.22,37.81,52.0,1971.0,335.0,765.0,308.0,6.5217,273700.0,NEAR BAY
-122.22,37.8,52.0,2183.0,465.0,1129.0,460.0,3.2632,227700.0,NEAR BAY
-122.22,37.8,52.0,2286.0,464.0,1073.0,441.0,3.0298,199600.0,NEAR BAY
-122.22,37.8,52.0,2721.0,541.0,1185.0,515.0,4.5428,239800.0,NEAR BAY
-122.22,37.81,52.0,2024.0,339.0,756.0,340.0,4.072,270100.0,NEAR BAY
-122.22,37.81,52.0,2944.0,536.0,1034.0,521.0,5.3509,302100.0,NEAR BAY
-122.23,37.8,52.0,2033.0,486.0,787.0,459.0,3.1603,269500.0,NEAR BAY
-122.23,37.81,52.0,1433.0,229.0,612.0,213.0,4.7708,314700.0,NEAR BAY
-122.22,37.81,52.0,2927.0,402.0,1021.0,380.0,8.1564,390100.0,NEAR BAY
-122.23,37.81,52.0,2315.0,292.0,861.0,258.0,8.8793,410300.0,NEAR BAY
-122.24,37.81,52.0,2485.0,313.0,953.0,327.0,6.8591,352400.0,NEAR BAY
-122.24,37.81,52.0,1490.0,238.0,634.0,256.0,6.0302,287300.0,NEAR BAY
-122.23,37.81,52.0,2814.0,365.0,878.0,352.0,7.508,348700.0,NEAR BAY
-122.24,37.81,52.0,2093.0,550.0,918.0,483.0,2.7477,243800.0,NEAR BAY
-122.24,37.8,52.0,888.0,168.0,360.0,175.0,2.1944,211500.0,NEAR BAY
-122.25,37.8,52.0,2087.0,510.0,1197.0,488.0,3.0149,218400.0,NEAR BAY
-122.24,37.81,52.0,2513.0,502.0,1048.0,518.0,3.675,269900.0,NEAR BAY
-122.25,37.81,46.0,3232.0,835.0,1373.0,747.0,3.225,218800.0,NEAR BAY
-122.25,37.8,42.0,4120.0,1065.0,1715.0,1015.0,2.9345,225000.0,NEAR BAY
-122.25,37.8,43.0,2364.0,792.0,1359.0,722.0,2.1429,250000.0,NEAR BAY
-122.25,37.8,41.0,1471.0,469.0,1062.0,413.0,1.6121,171400.0,NEAR BAY
-122.25,37.8,29.0,2468.0,864.0,1335.0,773.0,1.3929,193800.0,NEAR BAY
-122.24,37.79,27.0,1632.0,492.0,1171.0,429.0,2.3173,125000.0,NEAR BAY
-122.25,37.79,45.0,1786.0,526.0,1475.0,460.0,1.7772,97500.0,NEAR BAY
-122.25,37.79,50.0,629.0,188.0,742.0,196.0,2.6458,125000.0,NEAR BAY
-122.25,37.79,52.0,1339.0,391.0,1086.0,363.0,2.181,138800.0,NEAR BAY
-122.25,37.8,36.0,1678.0,606.0,1645.0,543.0,2.2303,116700.0,NEAR BAY
-122.25,37.8,43.0,2344.0,647.0,1710.0,644.0,1.6504,151800.0,NEAR BAY
-122.24,37.8,52.0,996.0,228.0,731.0,228.0,2.2697,127000.0,NEAR BAY
-122.24,37.8,52.0,1591.0,373.0,1118.0,347.0,2.1563,128600.0,NEAR BAY
-122.24,37.8,52.0,1586.0,398.0,1006.0,335.0,2.1348,140600.0,NEAR BAY
-122.24,37.8,47.0,2046.0,588.0,1213.0,554.0,2.6292,182700.0,NEAR BAY
-122.23,37.8,52.0,1192.0,289.0,772.0,257.0,2.3833,146900.0,NEAR BAY
-122.24,37.8,52.0,1803.0,420.0,1321.0,401.0,2.957,122800.0,NEAR BAY
-122.24,37.8,49.0,2838.0,749.0,1487.0,677.0,2.5238,169300.0,NEAR BAY
-122.23,37.8,52.0,783.0,184.0,488.0,186.0,1.9375,126600.0,NEAR BAY
-122.23,37.8,51.0,1590.0,414.0,949.0,392.0,1.9028,127900.0,NEAR BAY
-122.23,37.8,50.0,1746.0,480.0,1149.0,415.0,2.25,123500.0,NEAR BAY
-122.23,37.8,52.0,1252.0,299.0,844.0,280.0,2.3929,111900.0,NEAR BAY
-122.23,37.79,43.0,5963.0,1344.0,4367.0,1231.0,2.1917,112800.0,NEAR BAY
-122.23,37.79,52.0,1783.0,395.0,1659.0,412.0,2.9357,107900.0,NEAR BAY
-122.23,37.79,30.0,999.0,264.0,1011.0,263.0,1.8854,137500.0,NEAR BAY
-122.24,37.79,39.0,1469.0,431.0,1464.0,389.0,2.1638,105500.0,NEAR BAY
-122.24,37.79,47.0,1372.0,395.0,1237.0,303.0,2.125,95500.0,NEAR BAY
-122.24,37.79,52.0,674.0,180.0,647.0,168.0,3.375,116100.0,NEAR BAY
-122.24,37.79,43.0,1626.0,376.0,1284.0,357.0,2.2542,112200.0,NEAR BAY
-122.25,37.79,51.0,175.0,43.0,228.0,55.0,2.1,75000.0,NEAR BAY
-122.25,37.79,39.0,461.0,129.0,381.0,123.0,1.6,112500.0,NEAR BAY
-122.25,37.79,52.0,902.0,237.0,846.0,227.0,3.625,125000.0,NEAR BAY
-122.26,37.8,20.0,2373.0,779.0,1659.0,676.0,1.6929,115000.0,NEAR BAY
-122.22,37.77,52.0,391.0,128.0,520.0,138.0,1.6471,95000.0,NEAR BAY
-122.22,37.77,52.0,1137.0,301.0,866.0,259.0,2.59,96400.0,NEAR BAY
-122.23,37.77,52.0,769.0,206.0,612.0,183.0,2.57,72000.0,NEAR BAY
-122.23,37.78,52.0,472.0,146.0,415.0,126.0,2.6429,71300.0,NEAR BAY
-122.23,37.78,52.0,862.0,215.0,994.0,213.0,3.0257,80800.0,NEAR BAY
-122.22,37.78,50.0,1920.0,530.0,1525.0,477.0,1.4886,128800.0,NEAR BAY
-122.23,37.78,43.0,1420.0,472.0,1506.0,438.0,1.9338,112500.0,NEAR BAY
-122.23,37.78,52.0,986.0,258.0,1008.0,255.0,1.4844,119400.0,NEAR BAY
-122.23,37.78,44.0,2340.0,825.0,2813.0,751.0,1.6009,118100.0,NEAR BAY
-122.23,37.79,48.0,1696.0,396.0,1481.0,343.0,2.0375,122500.0,NEAR BAY
-122.23,37.79,49.0,1175.0,217.0,859.0,219.0,2.293,106300.0,NEAR BAY
-122.22,37.79,37.0,2343.0,574.0,1608.0,523.0,2.1494,132500.0,NEAR BAY
-122.23,37.79,30.0,610.0,145.0,425.0,140.0,1.6198,122700.0,NEAR BAY
-122.23,37.79,40.0,930.0,199.0,564.0,184.0,1.3281,113300.0,NEAR BAY
-122.22,37.79,44.0,1487.0,314.0,961.0,272.0,3.5156,109500.0,NEAR BAY
-122.22,37.79,52.0,3424.0,690.0,2273.0,685.0,3.9048,164700.0,NEAR BAY
-122.21,37.79,52.0,762.0,190.0,600.0,195.0,3.0893,125000.0,NEAR BAY
-122.22,37.79,46.0,2366.0,575.0,1647.0,527.0,2.6042,124700.0,NEAR BAY
-122.22,37.79,49.0,1826.0,450.0,1201.0,424.0,2.5,136700.0,NEAR BAY
-122.22,37.79,38.0,3049.0,711.0,2167.0,659.0,2.7969,141700.0,NEAR BAY
-122.2,37.79,29.0,1640.0,376.0,939.0,340.0,2.8321,150000.0,NEAR BAY
-122.21,37.79,47.0,1543.0,307.0,859.0,292.0,2.9583,138800.0,NEAR BAY
-122.21,37.79,34.0,2364.0,557.0,1517.0,516.0,2.8365,139200.0,NEAR BAY
-122.21,37.79,35.0,1745.0,409.0,1143.0,386.0,2.875,143800.0,NEAR BAY
-122.21,37.8,39.0,2003.0,500.0,1109.0,464.0,3.0682,156500.0,NEAR BAY
-122.21,37.8,39.0,2018.0,447.0,1221.0,446.0,3.0757,151000.0,NEAR BAY
-122.2,37.8,43.0,3045.0,499.0,1115.0,455.0,4.9559,273000.0,NEAR BAY
-122.2,37.8,52.0,1547.0,293.0,706.0,268.0,4.7721,217100.0,NEAR BAY
-122.21,37.8,52.0,3519.0,711.0,1883.0,706.0,3.4861,187100.0,NEAR BAY
-122.2,37.8,41.0,2070.0,354.0,804.0,340.0,5.1184,239600.0,NEAR BAY
-122.21,37.8,48.0,1321.0,263.0,506.0,252.0,4.0977,229700.0,NEAR BAY
-122.19,37.8,48.0,1694.0,259.0,610.0,238.0,4.744,257300.0,NEAR BAY
-122.19,37.8,46.0,1938.0,341.0,768.0,332.0,4.2727,246900.0,NEAR BAY
-122.19,37.79,50.0,968.0,195.0,462.0,184.0,2.9844,179900.0,NEAR BAY
-122.2,37.79,40.0,1060.0,256.0,667.0,235.0,4.1739,169600.0,NEAR BAY
-122.2,37.8,46.0,2041.0,405.0,1059.0,399.0,3.8487,203300.0,NEAR BAY
-122.19,37.8,52.0,1813.0,271.0,637.0,277.0,4.0114,263400.0,NEAR BAY
-122.19,37.79,45.0,2718.0,451.0,1106.0,454.0,4.6563,231800.0,NEAR BAY
-122.19,37.79,28.0,3144.0,761.0,1737.0,669.0,2.9297,140500.0,NEAR BAY
-122.2,37.79,35.0,1802.0,459.0,1009.0,390.0,2.3036,126000.0,NEAR BAY
-122.2,37.79,49.0,882.0,195.0,737.0,210.0,2.6667,122000.0,NEAR BAY
-122.2,37.79,44.0,1621.0,452.0,1354.0,491.0,2.619,134700.0,NEAR BAY
-122.21,37.79,45.0,2115.0,533.0,1530.0,474.0,2.4167,139400.0,NEAR BAY
-122.2,37.79,45.0,2021.0,528.0,1410.0,480.0,2.7788,115400.0,NEAR BAY
-122.21,37.78,46.0,2239.0,508.0,1390.0,569.0,2.7352,137300.0,NEAR BAY
-122.21,37.78,52.0,1477.0,300.0,1065.0,269.0,1.8472,137000.0,NEAR BAY
-122.21,37.78,52.0,1056.0,224.0,792.0,245.0,2.6583,142600.0,NEAR BAY
-122.21,37.78,49.0,898.0,244.0,779.0,245.0,3.0536,137500.0,NEAR BAY
-122.22,37.78,44.0,2968.0,710.0,2269.0,610.0,2.3906,111700.0,NEAR BAY
-122.21,37.78,43.0,1702.0,460.0,1227.0,407.0,1.7188,126800.0,NEAR BAY
-122.21,37.78,47.0,881.0,248.0,753.0,241.0,2.625,111300.0,NEAR BAY
-122.22,37.77,40.0,494.0,114.0,547.0,135.0,2.8015,114800.0,NEAR BAY
-122.22,37.78,50.0,1776.0,473.0,1807.0,440.0,1.7276,102300.0,NEAR BAY
-122.22,37.78,44.0,1678.0,514.0,1700.0,495.0,2.0801,131900.0,NEAR BAY
-122.22,37.78,51.0,1637.0,463.0,1543.0,393.0,2.489,119100.0,NEAR BAY
-122.21,37.76,52.0,1420.0,314.0,1085.0,300.0,1.7546,80600.0,NEAR BAY
-122.21,37.77,52.0,591.0,173.0,353.0,137.0,4.0904,80600.0,NEAR BAY
-122.21,37.77,52.0,745.0,153.0,473.0,149.0,2.6765,88800.0,NEAR BAY
-122.2,37.77,49.0,2272.0,498.0,1621.0,483.0,2.4338,102400.0,NEAR BAY
-122.21,37.77,46.0,1234.0,375.0,1183.0,354.0,2.3309,98700.0,NEAR BAY
-122.21,37.77,43.0,1017.0,328.0,836.0,277.0,2.2604,100000.0,NEAR BAY
-122.19,37.77,42.0,932.0,254.0,900.0,263.0,1.8039,92300.0,NEAR BAY
-122.2,37.77,39.0,2689.0,597.0,1888.0,537.0,2.2562,94800.0,NEAR BAY
-122.2,37.77,41.0,1547.0,415.0,1024.0,341.0,2.0562,102000.0,NEAR BAY
-122.2,37.78,52.0,2300.0,443.0,1225.0,423.0,3.5398,158400.0,NEAR BAY
-122.2,37.78,39.0,1752.0,399.0,1071.0,376.0,3.1167,121600.0,NEAR BAY
-122.2,37.78,50.0,1867.0,403.0,1128.0,378.0,2.5401,129100.0,NEAR BAY
-122.2,37.77,43.0,2430.0,502.0,1537.0,484.0,2.898,121400.0,NEAR BAY
-122.21,37.78,44.0,1729.0,414.0,1240.0,393.0,2.3125,102800.0,NEAR BAY
-122.19,37.78,52.0,1026.0,180.0,469.0,168.0,2.875,160000.0,NEAR BAY
-122.19,37.77,52.0,2170.0,428.0,1086.0,425.0,3.3715,143900.0,NEAR BAY
-122.19,37.77,52.0,2329.0,445.0,1144.0,417.0,3.5114,151200.0,NEAR BAY
-122.19,37.78,52.0,2492.0,415.0,1109.0,375.0,4.3125,164400.0,NEAR BAY
-122.19,37.78,52.0,2198.0,397.0,984.0,369.0,3.22,156500.0,NEAR BAY
-122.18,37.78,33.0,142.0,31.0,575.0,47.0,3.875,225000.0,NEAR BAY
-122.19,37.78,49.0,1183.0,205.0,496.0,209.0,5.2328,174200.0,NEAR BAY
-122.19,37.78,52.0,1070.0,193.0,555.0,190.0,3.7262,166900.0,NEAR BAY
-122.2,37.78,45.0,1766.0,332.0,869.0,327.0,4.5893,163500.0,NEAR BAY
-122.18,37.79,39.0,617.0,95.0,236.0,106.0,5.2578,253000.0,NEAR BAY
-122.18,37.79,41.0,1411.0,233.0,626.0,214.0,7.0875,240700.0,NEAR BAY
-122.18,37.79,46.0,2109.0,387.0,922.0,329.0,3.9712,208100.0,NEAR BAY
-122.19,37.79,47.0,1229.0,243.0,582.0,256.0,2.9514,198100.0,NEAR BAY
-122.19,37.79,50.0,954.0,217.0,546.0,201.0,2.6667,172800.0,NEAR BAY
-122.18,37.81,37.0,1643.0,262.0,620.0,266.0,5.4446,336700.0,NEAR BAY
-122.18,37.8,34.0,1355.0,195.0,442.0,195.0,6.2838,318200.0,NEAR BAY
-122.18,37.8,23.0,2317.0,336.0,955.0,328.0,6.7527,285800.0,NEAR BAY
-122.13,37.77,24.0,2459.0,317.0,916.0,324.0,7.0712,293000.0,NEAR BAY
-122.16,37.79,22.0,12842.0,2048.0,4985.0,1967.0,5.9849,371000.0,NEAR BAY
-122.17,37.78,42.0,1524.0,260.0,651.0,267.0,3.6875,157300.0,NEAR BAY
-122.17,37.77,30.0,3326.0,746.0,1704.0,703.0,2.875,135300.0,NEAR BAY
-122.18,37.78,43.0,1985.0,440.0,1085.0,407.0,3.4205,136700.0,NEAR BAY
-122.18,37.78,50.0,1642.0,322.0,713.0,284.0,3.2984,160700.0,NEAR BAY
-122.17,37.78,49.0,893.0,177.0,468.0,181.0,3.875,140600.0,NEAR BAY
-122.17,37.78,52.0,653.0,128.0,296.0,121.0,4.175,144000.0,NEAR BAY
-122.16,37.77,47.0,1256.0,,570.0,218.0,4.375,161900.0,NEAR BAY
-122.16,37.77,48.0,977.0,194.0,446.0,180.0,4.7708,156300.0,NEAR BAY
-122.16,37.77,45.0,2324.0,397.0,968.0,384.0,3.5739,176000.0,NEAR BAY
-122.16,37.77,39.0,1583.0,349.0,857.0,316.0,3.0958,145800.0,NEAR BAY
-122.17,37.77,39.0,1612.0,342.0,912.0,322.0,3.3958,141900.0,NEAR BAY
-122.17,37.77,31.0,2424.0,533.0,1360.0,452.0,1.871,90700.0,NEAR BAY
-122.17,37.76,41.0,1594.0,367.0,1074.0,355.0,1.9356,90600.0,NEAR BAY
-122.17,37.76,47.0,2118.0,413.0,965.0,382.0,2.1842,107900.0,NEAR BAY
-122.18,37.76,37.0,1575.0,358.0,933.0,320.0,2.2917,107000.0,NEAR BAY
-122.17,37.76,38.0,1764.0,397.0,987.0,354.0,2.4333,98200.0,NEAR BAY
-122.18,37.76,50.0,1187.0,261.0,907.0,246.0,1.9479,89500.0,NEAR BAY
-122.18,37.76,52.0,754.0,175.0,447.0,165.0,3.9063,93800.0,NEAR BAY
-122.18,37.76,49.0,2308.0,452.0,1299.0,451.0,1.8407,96700.0,NEAR BAY
-122.18,37.77,27.0,909.0,236.0,396.0,157.0,2.0786,97500.0,NEAR BAY
-122.18,37.77,42.0,1180.0,257.0,877.0,268.0,2.8125,97300.0,NEAR BAY
-122.18,37.76,43.0,2018.0,408.0,1111.0,367.0,1.8913,91200.0,NEAR BAY
-122.19,37.76,49.0,1368.0,282.0,790.0,269.0,1.7056,91400.0,NEAR BAY
-122.18,37.77,52.0,2744.0,547.0,1479.0,554.0,2.2768,96200.0,NEAR BAY
-122.18,37.77,51.0,2107.0,471.0,1173.0,438.0,3.2552,120100.0,NEAR BAY
-122.18,37.77,52.0,1748.0,362.0,1029.0,366.0,2.0556,100000.0,NEAR BAY
-122.19,37.76,52.0,2024.0,391.0,1030.0,350.0,2.4659,94700.0,NEAR BAY
-122.2,37.76,47.0,1116.0,259.0,826.0,279.0,1.75,85700.0,NEAR BAY
-122.19,37.77,41.0,2036.0,510.0,1412.0,454.0,2.0469,89300.0,NEAR BAY
-122.19,37.77,45.0,1852.0,393.0,1132.0,349.0,2.7159,101400.0,NEAR BAY
-122.19,37.76,41.0,921.0,207.0,522.0,159.0,1.2083,72500.0,NEAR BAY
-122.19,37.76,45.0,995.0,238.0,630.0,237.0,1.925,74100.0,NEAR BAY
-122.2,37.75,36.0,606.0,132.0,531.0,133.0,1.5809,70000.0,NEAR BAY
-122.2,37.76,37.0,2680.0,736.0,1925.0,667.0,1.4097,84600.0,NEAR BAY
-122.19,37.76,38.0,1493.0,370.0,1144.0,351.0,0.7683,81800.0,NEAR BAY
-122.19,37.75,19.0,2207.0,565.0,1481.0,520.0,1.3194,81400.0,NEAR BAY
-122.19,37.75,28.0,856.0,189.0,435.0,162.0,0.8012,81800.0,NEAR BAY
-122.19,37.76,26.0,1293.0,297.0,984.0,303.0,1.9479,85800.0,NEAR BAY
-122.19,37.74,36.0,847.0,212.0,567.0,159.0,1.1765,87100.0,NEAR BAY
-122.18,37.74,42.0,541.0,154.0,380.0,123.0,2.3456,83500.0,NEAR BAY
-122.19,37.73,44.0,1066.0,253.0,825.0,244.0,2.1538,79700.0,NEAR BAY
-122.19,37.74,43.0,707.0,147.0,417.0,155.0,2.5139,83400.0,NEAR BAY
-122.19,37.73,45.0,1528.0,291.0,801.0,287.0,1.2625,84700.0,NEAR BAY
-122.18,37.73,42.0,909.0,215.0,646.0,198.0,2.9063,80000.0,NEAR BAY
-122.18,37.73,43.0,1391.0,293.0,855.0,285.0,2.5192,76400.0,NEAR BAY
-122.18,37.73,44.0,548.0,119.0,435.0,136.0,2.1111,79700.0,NEAR BAY
-122.18,37.73,42.0,4074.0,874.0,2736.0,780.0,2.455,82400.0,NEAR BAY
-122.17,37.74,41.0,1613.0,445.0,1481.0,414.0,2.4028,97700.0,NEAR BAY
-122.17,37.74,47.0,463.0,134.0,327.0,137.0,2.15,97200.0,NEAR BAY
-122.17,37.74,43.0,818.0,193.0,494.0,179.0,2.4776,101600.0,NEAR BAY
-122.17,37.73,43.0,1473.0,371.0,1231.0,341.0,2.1587,86500.0,NEAR BAY
-122.18,37.74,35.0,504.0,126.0,323.0,109.0,1.8438,90500.0,NEAR BAY
-122.17,37.74,46.0,1026.0,226.0,749.0,225.0,3.0298,107600.0,NEAR BAY
-122.17,37.74,46.0,769.0,183.0,693.0,178.0,2.25,84200.0,NEAR BAY
-122.18,37.74,46.0,2103.0,391.0,1339.0,354.0,2.2467,88900.0,NEAR BAY
-122.18,37.75,45.0,330.0,76.0,282.0,80.0,4.0469,80700.0,NEAR BAY
-122.18,37.75,46.0,941.0,218.0,621.0,195.0,1.325,87100.0,NEAR BAY
-122.17,37.75,38.0,992.0,,732.0,259.0,1.6196,85100.0,NEAR BAY
-122.18,37.75,45.0,990.0,261.0,901.0,260.0,2.1731,82000.0,NEAR BAY
-122.19,37.75,36.0,1126.0,263.0,482.0,150.0,1.9167,82800.0,NEAR BAY
-122.18,37.75,43.0,1036.0,233.0,652.0,213.0,2.069,84600.0,NEAR BAY
-122.18,37.75,36.0,1047.0,214.0,651.0,166.0,1.712,82100.0,NEAR BAY
-122.17,37.76,33.0,1280.0,307.0,999.0,286.0,2.5625,89300.0,NEAR BAY
-122.17,37.75,43.0,1587.0,320.0,907.0,306.0,1.9821,98300.0,NEAR BAY
-122.17,37.75,41.0,1257.0,271.0,828.0,230.0,2.5043,92300.0,NEAR BAY
-122.17,37.75,44.0,1218.0,248.0,763.0,254.0,2.3281,88800.0,NEAR BAY
-122.17,37.75,48.0,1751.0,390.0,935.0,349.0,1.4375,90000.0,NEAR BAY
-122.16,37.76,45.0,2299.0,514.0,1437.0,484.0,2.5122,95500.0,NEAR BAY
-122.16,37.75,38.0,2457.0,624.0,1516.0,482.0,1.5625,91700.0,NEAR BAY
-122.17,37.75,47.0,998.0,211.0,597.0,185.0,3.1587,100400.0,NEAR BAY
-122.17,37.76,40.0,1685.0,343.0,949.0,342.0,1.8426,94800.0,NEAR BAY
-122.16,37.76,46.0,1827.0,307.0,881.0,302.0,4.6696,164300.0,NEAR BAY
-122.16,37.76,36.0,2781.0,574.0,1438.0,519.0,2.4598,155500.0,NEAR BAY
-122.15,37.76,39.0,1823.0,286.0,763.0,270.0,6.0749,196900.0,NEAR BAY
-122.14,37.77,27.0,2229.0,365.0,1297.0,355.0,4.8304,279100.0,NEAR BAY
-122.14,37.76,34.0,1513.0,231.0,545.0,211.0,5.5701,252800.0,NEAR BAY
-122.13,37.76,26.0,3266.0,491.0,1222.0,533.0,5.37,275400.0,NEAR BAY
-122.12,37.75,33.0,1809.0,261.0,808.0,219.0,6.86,250000.0,NEAR BAY
-122.12,37.75,28.0,794.0,111.0,329.0,109.0,7.6923,329800.0,NEAR BAY
-122.14,37.75,36.0,690.0,105.0,299.0,109.0,4.0313,195500.0,NEAR BAY
-122.14,37.75,33.0,1334.0,200.0,579.0,202.0,6.8323,255900.0,NEAR BAY
-122.13,37.75,30.0,414.0,54.0,137.0,50.0,4.975,311100.0,NEAR BAY
-122.13,37.75,36.0,768.0,93.0,229.0,93.0,5.3602,330000.0,NEAR BAY
-122.13,37.74,41.0,4400.0,666.0,1476.0,648.0,5.0,248900.0,NEAR BAY
-122.16,37.75,46.0,954.0,161.0,429.0,154.0,2.925,142900.0,NEAR BAY
-122.15,37.75,40.0,1445.0,256.0,849.0,255.0,3.8913,126300.0,NEAR BAY
-122.15,37.75,44.0,1938.0,399.0,946.0,331.0,3.225,135800.0,NEAR BAY
-122.15,37.74,41.0,856.0,178.0,571.0,191.0,3.1458,130600.0,NEAR BAY
-122.16,37.75,24.0,1790.0,454.0,1137.0,386.0,2.537,107900.0,NEAR BAY
-122.16,37.75,44.0,617.0,131.0,378.0,135.0,2.5568,111100.0,NEAR BAY
-122.15,37.74,43.0,1383.0,275.0,853.0,272.0,3.5083,122000.0,NEAR BAY
-122.15,37.74,49.0,1325.0,277.0,764.0,282.0,3.3125,118000.0,NEAR BAY
-122.16,37.75,40.0,1227.0,294.0,928.0,261.0,1.8235,95200.0,NEAR BAY
-122.16,37.75,35.0,667.0,140.0,406.0,133.0,3.8047,94300.0,NEAR BAY
-122.17,37.74,34.0,1223.0,281.0,824.0,280.0,2.2917,92500.0,NEAR BAY
-122.17,37.75,37.0,1379.0,287.0,835.0,259.0,2.4962,91800.0,NEAR BAY
-122.16,37.74,43.0,1534.0,300.0,826.0,295.0,4.0417,109400.0,NEAR BAY
-122.16,37.74,46.0,1029.0,181.0,567.0,211.0,3.4844,129500.0,NEAR BAY
-122.16,37.74,52.0,771.0,147.0,355.0,144.0,4.1458,143400.0,NEAR BAY
-122.16,37.74,47.0,824.0,223.0,533.0,166.0,2.625,98200.0,NEAR BAY
-122.16,37.74,44.0,1097.0,239.0,609.0,215.0,2.0227,103100.0,NEAR BAY
-122.29,37.9,49.0,1283.0,238.0,576.0,236.0,3.3333,276800.0,NEAR BAY
-122.29,37.9,52.0,1604.0,263.0,594.0,286.0,5.338,270900.0,NEAR BAY
-122.29,37.89,52.0,2248.0,422.0,870.0,377.0,3.4732,246200.0,NEAR BAY
-122.3,37.9,38.0,2263.0,522.0,1027.0,509.0,3.5125,224200.0,NEAR BAY
-122.29,37.89,52.0,1571.0,349.0,693.0,326.0,3.1375,229100.0,NEAR BAY
-122.3,37.89,46.0,1520.0,402.0,815.0,375.0,2.8036,211600.0,NEAR BAY
-122.3,37.9,15.0,5083.0,1212.0,2420.0,1146.0,4.5824,256100.0,NEAR BAY
-122.3,37.89,36.0,1077.0,293.0,518.0,276.0,3.0208,206300.0,NEAR BAY
-122.3,37.89,52.0,1248.0,283.0,620.0,275.0,4.0875,221300.0,NEAR BAY
-122.33,37.89,42.0,1342.0,291.0,551.0,266.0,4.5268,207400.0,NEAR BAY
-122.34,37.88,37.0,3061.0,930.0,2556.0,924.0,1.7375,350000.0,NEAR BAY
-122.29,37.89,52.0,3171.0,698.0,1498.0,696.0,3.1795,218200.0,NEAR BAY
-122.29,37.88,50.0,1211.0,261.0,523.0,227.0,3.8672,216700.0,NEAR BAY
-122.29,37.89,52.0,979.0,175.0,374.0,153.0,5.1675,270600.0,NEAR BAY
-122.29,37.89,52.0,2269.0,380.0,1004.0,371.0,5.1696,261400.0,NEAR BAY
-122.28,37.88,52.0,1844.0,332.0,769.0,334.0,4.2614,261300.0,NEAR BAY
-122.29,37.89,52.0,2178.0,421.0,940.0,423.0,5.0551,232200.0,NEAR BAY
-122.27,37.9,42.0,1650.0,274.0,645.0,256.0,5.6228,375400.0,NEAR BAY
-122.26,37.9,52.0,1927.0,279.0,705.0,288.0,7.8864,357300.0,NEAR BAY
-122.27,37.9,52.0,2079.0,273.0,684.0,275.0,7.9556,374400.0,NEAR BAY
-122.27,37.9,52.0,1803.0,240.0,572.0,236.0,6.174,358800.0,NEAR BAY
-122.27,37.9,52.0,2041.0,270.0,671.0,253.0,6.9414,417500.0,NEAR BAY
-122.27,37.89,52.0,3046.0,373.0,975.0,365.0,8.8342,430500.0,NEAR BAY
-122.28,37.9,52.0,2318.0,328.0,779.0,312.0,7.1754,362900.0,NEAR BAY
-122.28,37.9,52.0,2003.0,250.0,658.0,244.0,10.0825,397000.0,NEAR BAY
-122.28,37.9,52.0,2261.0,328.0,819.0,335.0,4.9083,346800.0,NEAR BAY
-122.28,37.89,52.0,1225.0,169.0,412.0,168.0,5.7912,327100.0,NEAR BAY
-122.28,37.89,52.0,2315.0,408.0,835.0,369.0,4.5893,290100.0,NEAR BAY
-122.28,37.89,52.0,2070.0,329.0,722.0,306.0,5.4171,292000.0,NEAR BAY
-122.28,37.89,52.0,2616.0,473.0,1085.0,487.0,4.125,270900.0,NEAR BAY
-122.27,37.89,52.0,2640.0,366.0,973.0,355.0,7.266,371100.0,NEAR BAY
-122.27,37.89,52.0,1978.0,293.0,723.0,272.0,5.3989,335600.0,NEAR BAY
-122.26,37.9,37.0,2220.0,335.0,903.0,362.0,7.8336,371300.0,NEAR BAY
-122.25,37.89,41.0,1125.0,195.0,356.0,181.0,6.1593,344000.0,NEAR BAY
-122.26,37.89,52.0,3078.0,494.0,1005.0,462.0,6.381,342200.0,NEAR BAY
-122.26,37.89,52.0,3706.0,531.0,1205.0,504.0,6.6828,370900.0,NEAR BAY
-122.25,37.89,37.0,3000.0,457.0,987.0,450.0,7.5385,350000.0,NEAR BAY
-122.25,37.89,42.0,2863.0,460.0,1031.0,448.0,6.7138,368600.0,NEAR BAY
-122.26,37.88,52.0,2551.0,417.0,894.0,404.0,6.2425,391800.0,NEAR BAY
-122.26,37.88,52.0,2255.0,410.0,823.0,377.0,5.7979,415300.0,NEAR BAY
-122.27,37.88,52.0,3360.0,648.0,1232.0,621.0,4.2813,284900.0,NEAR BAY
-122.27,37.88,52.0,1693.0,391.0,669.0,367.0,3.5417,287500.0,NEAR BAY
-122.27,37.88,44.0,2252.0,592.0,989.0,550.0,3.0132,272900.0,NEAR BAY
-122.28,37.88,52.0,2495.0,491.0,1058.0,464.0,4.1429,259600.0,NEAR BAY
-122.28,37.88,52.0,1193.0,200.0,506.0,207.0,4.1912,254500.0,NEAR BAY
-122.28,37.88,52.0,1172.0,215.0,489.0,218.0,3.9167,235600.0,NEAR BAY
-122.29,37.88,52.0,2159.0,424.0,824.0,388.0,3.8897,218400.0,NEAR BAY
-122.29,37.88,48.0,2365.0,490.0,1034.0,475.0,3.1065,229200.0,NEAR BAY
-122.29,37.88,46.0,1895.0,442.0,920.0,425.0,2.9926,192100.0,NEAR BAY
-122.29,37.88,52.0,1650.0,395.0,841.0,380.0,3.556,179300.0,NEAR BAY
-122.3,37.88,45.0,453.0,146.0,749.0,137.0,1.475,187500.0,NEAR BAY
-122.3,37.88,52.0,409.0,97.0,208.0,98.0,1.6971,138800.0,NEAR BAY
-122.3,37.87,10.0,503.0,118.0,228.0,100.0,2.1705,150000.0,NEAR BAY
-122.3,37.86,50.0,499.0,127.0,287.0,128.0,2.75,140600.0,NEAR BAY
-122.29,37.85,52.0,477.0,119.0,218.0,106.0,2.5682,120000.0,NEAR BAY
-122.3,37.88,46.0,1647.0,376.0,854.0,355.0,2.9,144800.0,NEAR BAY
-122.3,37.87,52.0,3123.0,749.0,1695.0,684.0,2.2208,144800.0,NEAR BAY
-122.28,37.88,52.0,957.0,188.0,403.0,172.0,3.2344,245500.0,NEAR BAY
-122.28,37.87,52.0,589.0,132.0,288.0,131.0,3.5156,200000.0,NEAR BAY
-122.28,37.87,49.0,2026.0,548.0,963.0,521.0,1.9805,173700.0,NEAR BAY
-122.29,37.87,50.0,1829.0,536.0,1129.0,516.0,2.6684,185600.0,NEAR BAY
-122.29,37.87,52.0,895.0,198.0,386.0,204.0,3.875,182600.0,NEAR BAY
-122.28,37.88,52.0,1909.0,416.0,811.0,406.0,3.006,227900.0,NEAR BAY
-122.28,37.87,46.0,3022.0,696.0,1293.0,675.0,2.543,220700.0,NEAR BAY
-122.28,37.87,46.0,1777.0,446.0,805.0,431.0,2.8676,212000.0,NEAR BAY
-122.27,37.88,52.0,2803.0,930.0,1372.0,876.0,2.1907,271400.0,NEAR BAY
-122.27,37.87,30.0,1465.0,439.0,862.0,425.0,1.7778,268800.0,NEAR BAY
-122.27,37.88,37.0,2619.0,682.0,1152.0,616.0,2.52,277800.0,NEAR BAY
-122.26,37.88,52.0,1149.0,255.0,483.0,249.0,4.2788,332500.0,NEAR BAY
-122.26,37.88,52.0,2363.0,604.0,1558.0,573.0,2.944,338900.0,NEAR BAY
-122.26,37.88,52.0,2604.0,837.0,1798.0,769.0,1.725,287500.0,NEAR BAY
-122.25,37.87,41.0,685.0,141.0,266.0,123.0,5.2289,384600.0,NEAR BAY
-122.25,37.87,42.0,1756.0,465.0,2184.0,422.0,2.5562,371400.0,NEAR BAY
-122.25,37.87,52.0,1204.0,460.0,2016.0,477.0,0.949,350000.0,NEAR BAY
-122.25,37.87,52.0,609.0,236.0,1349.0,250.0,1.1696,500001.0,NEAR BAY
-122.26,37.87,52.0,1087.0,371.0,3337.0,350.0,1.4012,175000.0,NEAR BAY
-122.26,37.87,52.0,2773.0,998.0,1721.0,949.0,1.1859,241700.0,NEAR BAY
-122.27,37.87,35.0,3218.0,1108.0,1675.0,1000.0,1.7464,216700.0,NEAR BAY
-122.27,37.87,49.0,1350.0,368.0,707.0,350.0,2.8846,211300.0,NEAR BAY
-122.27,37.87,52.0,3084.0,698.0,1424.0,694.0,2.7372,210200.0,NEAR BAY
-122.28,37.86,52.0,938.0,195.0,393.0,189.0,3.8594,196400.0,NEAR BAY
-122.28,37.87,52.0,1813.0,353.0,828.0,339.0,3.5625,191700.0,NEAR BAY
-122.28,37.87,52.0,1233.0,300.0,571.0,292.0,2.2788,182300.0,NEAR BAY
-122.29,37.87,44.0,2539.0,755.0,1382.0,713.0,2.537,175000.0,NEAR BAY
-122.29,37.87,46.0,1267.0,324.0,792.0,321.0,2.525,165900.0,NEAR BAY
-122.29,37.86,52.0,1665.0,404.0,815.0,372.0,1.9946,156900.0,NEAR BAY
-122.28,37.86,52.0,1659.0,367.0,788.0,346.0,2.8214,164300.0,NEAR BAY
-122.29,37.87,52.0,2225.0,460.0,1145.0,430.0,2.6165,150000.0,NEAR BAY
-122.29,37.86,50.0,2485.0,607.0,1354.0,563.0,1.9483,150500.0,NEAR BAY
-122.28,37.86,52.0,2031.0,450.0,958.0,445.0,1.9327,169900.0,NEAR BAY
-122.28,37.86,49.0,2932.0,668.0,1361.0,608.0,1.9798,147400.0,NEAR BAY
-122.28,37.85,52.0,2246.0,472.0,1005.0,449.0,2.4167,152700.0,NEAR BAY
-122.27,37.86,49.0,2052.0,435.0,924.0,414.0,2.5417,182700.0,NEAR BAY
-122.28,37.86,52.0,1999.0,417.0,780.0,358.0,3.3906,179300.0,NEAR BAY
-122.28,37.86,52.0,3007.0,691.0,1582.0,636.0,2.5652,157700.0,NEAR BAY
-122.28,37.86,41.0,2214.0,550.0,1213.0,568.0,2.2845,153100.0,NEAR BAY
-122.27,37.86,52.0,1088.0,305.0,486.0,267.0,2.6071,250000.0,NEAR BAY
-122.27,37.86,52.0,834.0,186.0,494.0,175.0,3.15,206300.0,NEAR BAY
-122.27,37.86,52.0,1769.0,372.0,849.0,365.0,2.6914,218800.0,NEAR BAY
-122.27,37.86,52.0,2307.0,583.0,1127.0,548.0,1.8447,198200.0,NEAR BAY
-122.26,37.86,35.0,5161.0,1744.0,3276.0,1742.0,1.6307,253600.0,NEAR BAY
-122.26,37.86,52.0,3497.0,832.0,1493.0,794.0,2.9044,257400.0,NEAR BAY
-122.26,37.86,52.0,3774.0,744.0,1461.0,679.0,2.9405,289500.0,NEAR BAY
-122.26,37.86,52.0,2888.0,604.0,1253.0,538.0,3.3893,241700.0,NEAR BAY
-122.25,37.86,48.0,2153.0,517.0,1656.0,459.0,3.0417,489600.0,NEAR BAY
-122.25,37.86,52.0,1389.0,191.0,514.0,202.0,7.0897,446200.0,NEAR BAY
-122.25,37.86,52.0,1709.0,318.0,719.0,295.0,5.0463,456300.0,NEAR BAY
-122.25,37.86,52.0,1587.0,444.0,878.0,449.0,1.7652,336800.0,NEAR BAY
-122.24,37.86,52.0,1668.0,225.0,517.0,214.0,7.8521,500001.0,NEAR BAY
-122.24,37.85,52.0,3726.0,474.0,1366.0,496.0,9.3959,500001.0,NEAR BAY
-122.25,37.86,52.0,4048.0,663.0,1316.0,590.0,5.3794,376900.0,NEAR BAY
-122.26,37.85,52.0,3618.0,768.0,1508.0,755.0,3.2619,309600.0,NEAR BAY
-122.27,37.85,52.0,4076.0,920.0,1800.0,815.0,2.7054,182300.0,NEAR BAY
-122.27,37.85,47.0,2077.0,400.0,719.0,326.0,2.2431,172700.0,NEAR BAY
-122.27,37.85,50.0,1279.0,300.0,675.0,255.0,1.9028,150800.0,NEAR BAY
-122.27,37.85,52.0,1974.0,426.0,875.0,363.0,1.5817,153600.0,NEAR BAY
-122.27,37.85,52.0,335.0,83.0,152.0,77.0,2.2841,106300.0,NEAR BAY
-122.27,37.85,47.0,1375.0,307.0,843.0,319.0,1.3785,142300.0,NEAR BAY
-122.28,37.85,52.0,610.0,145.0,281.0,132.0,2.9018,119400.0,NEAR BAY
-122.28,37.85,44.0,1025.0,198.0,506.0,204.0,1.73,147900.0,NEAR BAY
-122.28,37.85,48.0,2063.0,484.0,1054.0,466.0,2.2625,132900.0,NEAR BAY
-122.29,37.84,35.0,1872.0,419.0,1017.0,414.0,2.2106,132500.0,NEAR BAY
-122.28,37.83,52.0,3108.0,813.0,1623.0,765.0,2.6997,126900.0,NEAR BAY
-122.3,37.84,14.0,7355.0,2408.0,3100.0,2051.0,4.0018,143800.0,NEAR BAY
-122.23,37.83,52.0,2990.0,379.0,947.0,361.0,7.8772,500001.0,NEAR BAY
-122.22,37.82,39.0,2492.0,310.0,808.0,315.0,11.8603,500001.0,NEAR BAY
-122.22,37.82,42.0,2991.0,335.0,1018.0,335.0,13.499,500001.0,NEAR BAY
-122.23,37.82,52.0,3242.0,366.0,1001.0,352.0,12.2138,500001.0,NEAR BAY
-122.23,37.82,52.0,3051.0,381.0,1005.0,369.0,8.1872,466100.0,NEAR BAY
-122.23,37.82,52.0,3494.0,396.0,1192.0,383.0,12.3804,500001.0,NEAR BAY
-122.24,37.83,52.0,1757.0,246.0,585.0,227.0,5.8948,457800.0,NEAR BAY
-122.24,37.83,52.0,2449.0,312.0,916.0,316.0,8.1194,471600.0,NEAR BAY
-122.23,37.82,52.0,1611.0,203.0,556.0,179.0,8.7477,500001.0,NEAR BAY
-122.24,37.82,52.0,3665.0,517.0,1470.0,520.0,6.155,398600.0,NEAR BAY
-122.25,37.82,52.0,2474.0,403.0,1104.0,398.0,5.883,340700.0,NEAR BAY
-122.23,37.76,52.0,3037.0,516.0,1242.0,518.0,5.2128,289900.0,NEAR BAY
-122.23,37.76,52.0,2269.0,323.0,805.0,321.0,4.7188,335300.0,NEAR BAY
-122.23,37.76,52.0,1316.0,177.0,378.0,162.0,5.2915,333000.0,NEAR BAY
-122.24,37.77,52.0,1153.0,235.0,481.0,223.0,2.6411,241000.0,NEAR BAY
-122.23,37.77,52.0,772.0,179.0,409.0,160.0,3.3214,189600.0,NEAR BAY
-122.24,37.77,52.0,1711.0,386.0,885.0,373.0,3.6417,206300.0,NEAR BAY
-122.25,37.77,52.0,2650.0,566.0,1468.0,567.0,3.0161,215700.0,NEAR BAY
-122.25,37.77,52.0,1038.0,220.0,482.0,215.0,3.1771,210200.0,NEAR BAY
-122.25,37.77,52.0,1527.0,320.0,825.0,264.0,3.4531,208800.0,NEAR BAY
-122.25,37.77,52.0,859.0,157.0,429.0,158.0,4.3098,197900.0,NEAR BAY
-122.26,37.78,52.0,970.0,217.0,528.0,208.0,3.3438,201300.0,NEAR BAY
-122.26,37.78,52.0,1045.0,239.0,496.0,216.0,2.9213,190800.0,NEAR BAY
-122.27,37.78,52.0,1408.0,280.0,718.0,265.0,2.6806,207900.0,NEAR BAY
-122.27,37.78,52.0,1222.0,264.0,630.0,265.0,3.7708,215300.0,NEAR BAY
-122.27,37.78,45.0,1169.0,263.0,723.0,286.0,3.9444,212900.0,NEAR BAY
-122.27,37.78,13.0,2020.0,535.0,959.0,486.0,5.2601,292700.0,NEAR BAY
-122.28,37.79,30.0,4145.0,869.0,3668.0,855.0,2.5444,275000.0,NEAR BAY
-122.3,37.77,42.0,2038.0,368.0,2037.0,355.0,2.6447,200000.0,NEAR BAY
-122.28,37.78,29.0,5154.0,,3741.0,1273.0,2.5762,173400.0,NEAR BAY
-122.29,37.78,42.0,1241.0,309.0,821.0,300.0,1.9427,102200.0,NEAR BAY
-122.28,37.77,52.0,1468.0,363.0,870.0,347.0,2.9688,220800.0,NEAR BAY
-122.28,37.77,27.0,3997.0,1073.0,1901.0,966.0,3.75,242800.0,NEAR BAY
-122.29,37.76,18.0,2873.0,763.0,1243.0,663.0,5.1702,265400.0,NEAR BAY
-122.28,37.78,50.0,1487.0,306.0,730.0,327.0,2.5139,219000.0,NEAR BAY
-122.26,37.77,52.0,1670.0,350.0,793.0,299.0,2.9732,282100.0,NEAR BAY
-122.27,37.77,52.0,2252.0,388.0,1033.0,434.0,5.5337,372000.0,NEAR BAY
-122.27,37.77,52.0,1731.0,377.0,872.0,363.0,4.1667,225800.0,NEAR BAY
-122.27,37.77,52.0,1710.0,481.0,849.0,457.0,2.7115,220800.0,NEAR BAY
-122.27,37.77,52.0,2388.0,559.0,1121.0,518.0,3.3269,234500.0,NEAR BAY
-122.25,37.77,52.0,2156.0,458.0,872.0,445.0,3.2685,254200.0,NEAR BAY
-122.26,37.77,52.0,1565.0,315.0,637.0,297.0,4.7778,351800.0,NEAR BAY
-122.26,37.77,52.0,1704.0,371.0,663.0,340.0,4.226,275000.0,NEAR BAY
-122.26,37.77,52.0,1210.0,168.0,411.0,172.0,3.3571,405400.0,NEAR BAY
-122.26,37.77,52.0,2097.0,444.0,915.0,413.0,2.9899,228100.0,NEAR BAY
-122.26,37.77,52.0,1848.0,479.0,921.0,477.0,2.875,234000.0,NEAR BAY
-122.24,37.77,43.0,955.0,284.0,585.0,266.0,2.3882,162500.0,NEAR BAY
-122.25,37.77,43.0,4329.0,1110.0,2086.0,1053.0,2.975,243400.0,NEAR BAY
-122.23,37.76,52.0,3011.0,542.0,1303.0,535.0,5.1039,273800.0,NEAR BAY
-122.23,37.76,52.0,1049.0,185.0,374.0,176.0,4.1458,248500.0,NEAR BAY
-122.24,37.76,52.0,2504.0,516.0,979.0,472.0,3.4762,244000.0,NEAR BAY
-122.24,37.76,52.0,1846.0,471.0,827.0,446.0,2.6833,240900.0,NEAR BAY
-122.23,37.76,52.0,1705.0,246.0,658.0,253.0,5.75,306300.0,NEAR BAY
-122.23,37.75,50.0,1542.0,289.0,654.0,268.0,3.9632,240000.0,NEAR BAY
-122.24,37.75,45.0,891.0,,384.0,146.0,4.9489,247100.0,NEAR BAY
-122.24,37.75,27.0,4051.0,753.0,1499.0,797.0,4.8711,286600.0,NEAR BAY
-122.24,37.76,52.0,2646.0,581.0,1128.0,522.0,3.0718,266700.0,NEAR BAY
-122.24,37.76,49.0,2428.0,525.0,1110.0,492.0,3.6719,229800.0,NEAR BAY
-122.24,37.76,52.0,2567.0,436.0,1119.0,415.0,4.6094,229300.0,NEAR BAY
-122.24,37.73,21.0,7031.0,1249.0,2930.0,1235.0,4.5213,228400.0,NEAR BAY
-122.25,37.74,25.0,1914.0,365.0,897.0,390.0,4.4562,206200.0,NEAR BAY
-122.24,37.72,5.0,18634.0,2885.0,7427.0,2718.0,7.611,350700.0,NEAR BAY
-122.27,37.73,31.0,5785.0,1379.0,2973.0,1312.0,3.2689,231000.0,NEAR BAY
-122.25,37.76,52.0,2876.0,648.0,1340.0,632.0,3.567,252900.0,NEAR BAY
-122.27,37.74,28.0,6909.0,1554.0,2974.0,1484.0,3.6875,353900.0,NEAR BAY
-122.27,37.77,23.0,5679.0,1270.0,2690.0,1151.0,4.7695,291700.0,NEAR BAY
-122.28,37.75,20.0,1156.0,365.0,583.0,326.0,3.1972,100000.0,NEAR BAY
-122.06,37.77,12.0,14316.0,2045.0,5781.0,2007.0,7.2634,341600.0,NEAR BAY
-122.06,37.73,5.0,3596.0,467.0,1738.0,512.0,7.0568,412500.0,NEAR BAY
-122.06,37.71,36.0,3541.0,570.0,1478.0,529.0,4.635,248600.0,NEAR BAY
-122.07,37.71,40.0,1808.0,302.0,746.0,270.0,5.3015,254900.0,NEAR BAY
-122.07,37.71,36.0,2879.0,480.0,1235.0,455.0,4.9801,241500.0,NEAR BAY
-122.07,37.72,26.0,3204.0,477.0,1411.0,484.0,5.4834,295200.0,NEAR BAY
-122.08,37.72,31.0,3866.0,531.0,1368.0,521.0,6.187,340400.0,NEAR BAY
-122.08,37.72,32.0,2476.0,368.0,1048.0,367.0,5.6194,274700.0,NEAR BAY
-122.08,37.71,35.0,2211.0,350.0,1004.0,365.0,5.4639,238600.0,NEAR BAY
-122.09,37.71,35.0,2663.0,387.0,1086.0,367.0,5.1498,266400.0,NEAR BAY
-122.1,37.72,30.0,2599.0,366.0,922.0,350.0,5.8382,330200.0,NEAR BAY
-122.11,37.71,36.0,4569.0,824.0,1950.0,819.0,4.65,206800.0,NEAR BAY
-122.1,37.7,25.0,2973.0,622.0,1413.0,595.0,4.3819,209200.0,NEAR BAY
-122.1,37.69,30.0,3115.0,625.0,1444.0,568.0,3.7222,195800.0,NEAR BAY
-122.09,37.71,31.0,1843.0,282.0,749.0,269.0,5.2855,253500.0,NEAR BAY
-122.09,37.7,31.0,2053.0,336.0,867.0,329.0,4.3375,241800.0,NEAR BAY
-122.1,37.71,27.0,6740.0,1073.0,2723.0,1035.0,5.2131,252500.0,NEAR BAY
-122.09,37.7,30.0,1751.0,269.0,731.0,263.0,6.005,263900.0,NEAR BAY
-122.08,37.71,38.0,1663.0,295.0,781.0,301.0,5.0519,227000.0,NEAR BAY
-122.08,37.71,38.0,3716.0,657.0,1784.0,652.0,4.8237,220900.0,NEAR BAY
-122.08,37.7,32.0,2718.0,447.0,1156.0,410.0,5.2497,259300.0,NEAR BAY
-122.07,37.7,39.0,1420.0,272.0,645.0,277.0,4.125,232500.0,NEAR BAY
-122.06,37.7,37.0,1893.0,310.0,821.0,315.0,4.6005,231600.0,NEAR BAY
-122.06,37.7,33.0,3906.0,790.0,1912.0,770.0,3.5187,209400.0,NEAR BAY
-122.07,37.7,32.0,3400.0,736.0,1487.0,694.0,3.0,223200.0,NEAR BAY
-122.08,37.7,25.0,3402.0,758.0,1645.0,710.0,3.4934,209900.0,NEAR BAY
-122.09,37.7,33.0,4413.0,1107.0,2239.0,1051.0,2.9861,208200.0,NEAR BAY
-122.07,37.69,29.0,2304.0,618.0,1021.0,552.0,2.5362,203800.0,NEAR BAY
-122.08,37.69,36.0,2350.0,499.0,1105.0,467.0,3.3021,195700.0,NEAR BAY
-122.07,37.69,31.0,5914.0,1309.0,2999.0,1295.0,3.0964,190500.0,NEAR BAY
-122.08,37.69,43.0,1575.0,324.0,740.0,284.0,2.8512,181000.0,NEAR BAY
-122.08,37.69,42.0,1414.0,274.0,629.0,244.0,3.3478,184900.0,NEAR BAY
-122.08,37.68,37.0,848.0,202.0,314.0,205.0,2.3958,190800.0,NEAR BAY
-122.08,37.68,15.0,3051.0,685.0,1479.0,668.0,3.5295,242200.0,NEAR BAY
-122.09,37.69,20.0,4296.0,817.0,1732.0,800.0,4.8036,188300.0,NEAR BAY
-122.15,37.74,52.0,2898.0,557.0,1338.0,550.0,3.851,183500.0,NEAR BAY
-122.14,37.74,52.0,1071.0,201.0,440.0,192.0,4.0662,204200.0,NEAR BAY
-122.14,37.73,51.0,2619.0,403.0,922.0,393.0,4.6042,251900.0,NEAR BAY
-122.15,37.74,49.0,1494.0,316.0,611.0,288.0,2.2,187500.0,NEAR BAY
-122.16,37.73,52.0,2260.0,416.0,994.0,412.0,4.1164,198200.0,NEAR BAY
-122.15,37.74,52.0,1394.0,223.0,545.0,230.0,3.95,219000.0,NEAR BAY
-122.15,37.73,52.0,1028.0,129.0,317.0,143.0,4.9135,275000.0,NEAR BAY
-122.15,37.73,45.0,3758.0,819.0,1573.0,736.0,2.8355,245400.0,NEAR BAY
-122.17,37.73,46.0,2163.0,470.0,925.0,435.0,3.25,177500.0,NEAR BAY
-122.16,37.73,49.0,1699.0,408.0,768.0,385.0,2.8301,171600.0,NEAR BAY
-122.17,37.73,52.0,1555.0,289.0,620.0,292.0,3.7159,183300.0,NEAR BAY
-122.16,37.73,52.0,1114.0,206.0,425.0,207.0,2.5625,175000.0,NEAR BAY
-122.18,37.72,45.0,1498.0,313.0,1003.0,305.0,3.8047,156700.0,NEAR BAY
-122.18,37.71,45.0,726.0,147.0,519.0,135.0,3.375,157500.0,NEAR BAY
-122.17,37.71,38.0,890.0,200.0,481.0,198.0,3.244,179800.0,NEAR BAY
-122.18,37.7,36.0,2639.0,533.0,1209.0,519.0,4.0268,205500.0,NEAR BAY
-122.18,37.7,35.0,2562.0,554.0,1398.0,525.0,3.3906,178900.0,NEAR BAY
-122.19,37.71,36.0,361.0,69.0,158.0,58.0,5.5461,262500.0,NEAR BAY
-122.17,37.72,42.0,3008.0,659.0,1817.0,664.0,3.371,165000.0,NEAR BAY
-122.17,37.72,46.0,1369.0,284.0,766.0,289.0,3.5313,159700.0,NEAR BAY
-122.17,37.72,5.0,1692.0,398.0,814.0,328.0,3.663,158300.0,NEAR BAY
-122.16,37.72,38.0,1007.0,245.0,618.0,239.0,2.875,144800.0,NEAR BAY
-122.17,37.72,43.0,3783.0,814.0,2139.0,789.0,4.0202,166300.0,NEAR BAY
-122.16,37.71,37.0,1507.0,242.0,632.0,253.0,4.5553,191000.0,NEAR BAY
-122.16,37.71,36.0,666.0,132.0,366.0,134.0,3.4643,175000.0,NEAR BAY
-122.16,37.72,10.0,2229.0,601.0,877.0,485.0,3.3431,137500.0,NEAR BAY
-122.15,37.73,28.0,2215.0,587.0,830.0,573.0,2.1898,141700.0,NEAR BAY
-122.15,37.72,31.0,1616.0,372.0,739.0,379.0,2.9097,210900.0,NEAR BAY
-122.15,37.72,47.0,1190.0,251.0,540.0,266.0,3.375,198300.0,NEAR BAY
-122.15,37.72,29.0,4169.0,1047.0,2024.0,962.0,2.8125,157400.0,NEAR BAY
-122.14,37.73,52.0,2024.0,320.0,823.0,334.0,5.0,264700.0,NEAR BAY
-122.14,37.73,38.0,1723.0,394.0,711.0,353.0,3.0673,218400.0,NEAR BAY
-122.14,37.73,43.0,2264.0,390.0,931.0,368.0,3.8125,235100.0,NEAR BAY
-122.13,37.73,33.0,1996.0,268.0,686.0,270.0,6.9096,341800.0,NEAR BAY
-122.13,37.72,26.0,2862.0,394.0,1030.0,397.0,7.912,367300.0,NEAR BAY
-122.13,37.72,35.0,2183.0,383.0,976.0,392.0,3.8393,243500.0,NEAR BAY
-122.12,37.71,35.0,1037.0,207.0,552.0,210.0,4.0,167900.0,NEAR BAY
-122.13,37.72,25.0,1134.0,153.0,340.0,171.0,6.5095,371200.0,NEAR BAY
-122.14,37.72,39.0,786.0,132.0,288.0,132.0,3.5156,218900.0,NEAR BAY
-122.14,37.72,45.0,1397.0,253.0,555.0,248.0,2.983,202700.0,NEAR BAY
-122.13,37.72,45.0,2315.0,451.0,1006.0,444.0,3.524,186200.0,NEAR BAY
-122.13,37.71,44.0,1613.0,339.0,776.0,346.0,3.1103,188900.0,NEAR BAY
-122.13,37.71,44.0,1421.0,298.0,609.0,270.0,3.5781,180000.0,NEAR BAY
-122.15,37.71,18.0,5778.0,1526.0,2441.0,1352.0,3.1682,202700.0,NEAR BAY
-122.14,37.71,27.0,3094.0,866.0,1364.0,789.0,2.6101,181700.0,NEAR BAY
-122.14,37.71,18.0,3905.0,1007.0,2197.0,1044.0,3.6932,166800.0,NEAR BAY
-122.13,37.7,43.0,3046.0,557.0,1333.0,544.0,3.4583,183700.0,NEAR BAY
-122.13,37.7,19.0,3516.0,710.0,1810.0,703.0,3.9032,218000.0,NEAR BAY
-122.15,37.71,36.0,998.0,178.0,531.0,183.0,4.0208,191500.0,NEAR BAY
-122.15,37.7,36.0,1464.0,244.0,672.0,261.0,3.5547,194700.0,NEAR BAY
-122.14,37.7,17.0,1463.0,292.0,695.0,330.0,4.5859,187200.0,NEAR BAY
-122.13,37.7,21.0,4124.0,1054.0,2162.0,998.0,2.6321,223100.0,NEAR BAY
-122.13,37.69,17.0,2380.0,769.0,1216.0,643.0,3.395,271300.0,NEAR BAY
-122.14,37.7,36.0,1266.0,228.0,606.0,239.0,3.9702,194100.0,NEAR BAY
-122.16,37.7,36.0,2239.0,391.0,1203.0,379.0,5.0043,190400.0,NEAR BAY
-122.14,37.69,38.0,1571.0,317.0,874.0,301.0,4.4659,189100.0,NEAR BAY
-122.15,37.69,38.0,1246.0,221.0,637.0,222.0,3.6625,184600.0,NEAR BAY
-122.15,37.69,36.0,1501.0,287.0,703.0,276.0,3.8864,197300.0,NEAR BAY
-122.15,37.7,36.0,1468.0,252.0,733.0,229.0,3.4583,192600.0,NEAR BAY
-122.16,37.69,36.0,1118.0,219.0,625.0,228.0,3.7813,192200.0,NEAR BAY
-122.16,37.7,36.0,1097.0,208.0,568.0,225.0,2.9917,194600.0,NEAR BAY
-122.16,37.7,36.0,1719.0,303.0,836.0,311.0,4.4375,193500.0,NEAR BAY
-122.17,37.7,24.0,1755.0,365.0,952.0,362.0,4.0,202600.0,NEAR BAY
-122.16,37.68,16.0,1687.0,348.0,568.0,352.0,2.3869,83300.0,NEAR BAY
-122.17,37.69,24.0,2262.0,391.0,1125.0,366.0,4.7609,212600.0,NEAR BAY
-122.18,37.68,5.0,2087.0,407.0,840.0,401.0,5.4858,187800.0,NEAR BAY
-122.16,37.69,36.0,1480.0,278.0,796.0,283.0,4.3971,205700.0,NEAR BAY
-122.15,37.69,36.0,1545.0,273.0,863.0,267.0,4.0109,192900.0,NEAR BAY
-122.15,37.68,35.0,2632.0,447.0,1349.0,486.0,4.3864,205200.0,NEAR BAY
-122.15,37.68,30.0,2261.0,443.0,929.0,383.0,4.2841,213400.0,NEAR BAY
-122.15,37.69,39.0,1670.0,308.0,957.0,335.0,5.1312,183600.0,NEAR BAY
-122.14,37.69,37.0,2141.0,535.0,1093.0,555.0,2.9958,178400.0,NEAR BAY
-122.14,37.68,27.0,3337.0,613.0,1489.0,607.0,3.6364,219200.0,NEAR BAY
-122.14,37.68,31.0,3184.0,716.0,1561.0,628.0,2.7955,183100.0,NEAR BAY
-122.1,37.69,44.0,2341.0,500.0,1256.0,485.0,2.9507,157100.0,NEAR BAY
-122.12,37.69,30.0,1197.0,269.0,695.0,279.0,3.4375,157800.0,NEAR BAY
-122.13,37.69,34.0,1131.0,278.0,560.0,237.0,2.875,161700.0,NEAR BAY
-122.12,37.71,38.0,1164.0,284.0,632.0,289.0,3.0345,152100.0,NEAR BAY
-122.12,37.7,41.0,3495.0,787.0,1849.0,750.0,2.679,144900.0,NEAR BAY
-122.12,37.7,17.0,2488.0,617.0,1287.0,538.0,2.9922,179900.0,NEAR BAY
-122.12,37.69,35.0,2681.0,508.0,1580.0,536.0,4.1042,179100.0,NEAR BAY
-122.12,37.7,19.0,2495.0,635.0,1571.0,579.0,2.5833,159900.0,NEAR BAY
-122.11,37.7,23.0,1689.0,461.0,828.0,443.0,2.1552,161400.0,NEAR BAY
-122.11,37.7,29.0,1298.0,306.0,835.0,338.0,2.3274,170400.0,NEAR BAY
-122.11,37.7,19.0,2693.0,789.0,1765.0,724.0,2.4206,137500.0,NEAR BAY
-122.1,37.69,41.0,746.0,,387.0,161.0,3.9063,178400.0,NEAR BAY
-122.11,37.69,37.0,2444.0,651.0,1562.0,618.0,2.6464,155200.0,NEAR BAY
-122.11,37.69,42.0,1472.0,310.0,768.0,309.0,3.4643,160900.0,NEAR BAY
-122.12,37.69,10.0,2227.0,560.0,1140.0,472.0,2.3973,167300.0,NEAR BAY
-122.03,37.69,20.0,200.0,25.0,83.0,31.0,6.5,340000.0,NEAR BAY
-121.97,37.64,32.0,1283.0,194.0,485.0,171.0,6.0574,431000.0,<1H OCEAN
-122.02,37.63,6.0,2445.0,590.0,1189.0,573.0,3.8958,301100.0,NEAR BAY
-122.04,37.63,21.0,1307.0,236.0,586.0,249.0,4.7813,241900.0,NEAR BAY
-122.05,37.63,5.0,3785.0,936.0,2240.0,792.0,3.2829,162500.0,NEAR BAY
-122.04,37.66,10.0,2031.0,357.0,867.0,352.0,5.3169,299200.0,NEAR BAY
-122.04,37.65,10.0,8299.0,1326.0,3827.0,1288.0,6.2579,315500.0,NEAR BAY
-122.05,37.68,23.0,7518.0,1279.0,3827.0,1294.0,5.1701,216800.0,NEAR BAY
-122.07,37.68,36.0,1815.0,426.0,1280.0,431.0,3.25,218100.0,NEAR BAY
-122.06,37.68,30.0,5367.0,1207.0,2667.0,1047.0,3.1796,170300.0,NEAR BAY
-122.08,37.68,26.0,1167.0,370.0,253.0,137.0,2.4196,275000.0,NEAR BAY
-122.08,37.68,26.0,2607.0,682.0,1401.0,607.0,2.6563,184100.0,NEAR BAY
-122.08,37.67,29.0,493.0,168.0,233.0,152.0,0.9637,160000.0,NEAR BAY
-122.09,37.67,48.0,1252.0,305.0,673.0,308.0,2.3357,175000.0,NEAR BAY
-122.09,37.68,41.0,1382.0,353.0,704.0,314.0,3.5114,197500.0,NEAR BAY
-122.09,37.69,43.0,500.0,110.0,273.0,120.0,3.3125,150000.0,NEAR BAY
-122.09,37.68,29.0,2333.0,538.0,1120.0,540.0,2.4042,205600.0,NEAR BAY
-122.09,37.68,41.0,1834.0,463.0,1105.0,467.0,2.8322,170300.0,NEAR BAY
-122.09,37.68,43.0,1415.0,348.0,569.0,293.0,2.5156,190900.0,NEAR BAY
-122.1,37.68,37.0,1352.0,342.0,691.0,324.0,3.4032,196900.0,NEAR BAY
-122.1,37.68,37.0,2116.0,503.0,1109.0,448.0,2.535,174000.0,NEAR BAY
-122.11,37.68,37.0,1976.0,481.0,1197.0,465.0,2.5772,170200.0,NEAR BAY
-122.1,37.68,38.0,1779.0,413.0,1061.0,400.0,3.0962,180900.0,NEAR BAY
-122.1,37.67,34.0,3659.0,897.0,2479.0,903.0,2.9564,150500.0,NEAR BAY
-122.1,37.68,31.0,1892.0,428.0,1162.0,389.0,3.125,167100.0,NEAR BAY
-122.12,37.68,35.0,1958.0,484.0,1146.0,448.0,2.95,148900.0,NEAR BAY
-122.12,37.68,40.0,1553.0,253.0,724.0,267.0,4.38,196400.0,NEAR BAY
-122.12,37.68,37.0,2412.0,394.0,975.0,375.0,4.0417,191100.0,NEAR BAY
-122.11,37.67,36.0,2110.0,389.0,952.0,370.0,3.8,187500.0,NEAR BAY
-122.12,37.68,45.0,2179.0,401.0,1159.0,399.0,3.4839,180600.0,NEAR BAY
-122.13,37.68,45.0,2457.0,445.0,1129.0,422.0,4.0588,182800.0,NEAR BAY
-122.13,37.68,44.0,2147.0,399.0,1175.0,401.0,4.1974,179300.0,NEAR BAY
-122.13,37.68,43.0,1676.0,340.0,924.0,328.0,3.6,179400.0,NEAR BAY
-122.14,37.68,35.0,2976.0,518.0,1424.0,538.0,4.267,210300.0,NEAR BAY
-122.14,37.67,34.0,3036.0,533.0,1366.0,500.0,4.2386,192300.0,NEAR BAY
-122.15,37.67,35.0,2472.0,398.0,1171.0,390.0,5.5797,198100.0,NEAR BAY
-122.14,37.67,36.0,1487.0,249.0,641.0,243.0,4.0682,196200.0,NEAR BAY
-122.13,37.67,38.0,2012.0,347.0,880.0,332.0,3.1734,181600.0,NEAR BAY
-122.14,37.67,37.0,3342.0,,1635.0,557.0,4.7933,186900.0,NEAR BAY
-122.14,37.67,37.0,3156.0,534.0,1495.0,543.0,4.8125,188300.0,NEAR BAY
-122.13,37.67,40.0,1748.0,318.0,914.0,317.0,3.8676,184000.0,NEAR BAY
-122.12,37.67,33.0,3429.0,681.0,1798.0,694.0,3.9395,184700.0,NEAR BAY
-122.13,37.67,42.0,3592.0,703.0,1625.0,665.0,3.2434,179900.0,NEAR BAY
-122.11,37.67,38.0,1035.0,247.0,599.0,224.0,3.0917,167200.0,NEAR BAY
-122.11,37.67,32.0,3028.0,811.0,2037.0,703.0,3.0645,165400.0,NEAR BAY
-122.09,37.67,33.0,2431.0,655.0,1854.0,603.0,2.7019,154000.0,NEAR BAY
-122.09,37.67,39.0,2069.0,500.0,1408.0,478.0,3.1115,153500.0,NEAR BAY
-122.09,37.66,40.0,1340.0,313.0,766.0,271.0,3.4722,135400.0,NEAR BAY
-122.09,37.66,39.0,1160.0,259.0,725.0,274.0,2.2222,158300.0,NEAR BAY
-122.05,37.68,32.0,2015.0,318.0,1019.0,340.0,6.1104,240700.0,NEAR BAY
-122.06,37.67,22.0,3882.0,816.0,1830.0,743.0,4.2733,180700.0,NEAR BAY
-122.07,37.67,27.0,3239.0,671.0,1469.0,616.0,3.2465,230600.0,NEAR BAY
-122.07,37.67,28.0,2932.0,739.0,1198.0,624.0,3.2417,210800.0,NEAR BAY
-122.07,37.67,38.0,2104.0,409.0,1039.0,394.0,3.875,165300.0,NEAR BAY
-122.04,37.67,29.0,1694.0,251.0,690.0,242.0,6.0501,254200.0,NEAR BAY
-122.04,37.67,18.0,3000.0,419.0,1155.0,415.0,6.8233,332600.0,NEAR BAY
-122.04,37.66,23.0,2419.0,348.0,1066.0,384.0,6.3501,350000.0,NEAR BAY
-122.07,37.66,28.0,2280.0,610.0,1255.0,587.0,2.6719,161200.0,NEAR BAY
-122.07,37.66,21.0,5031.0,1168.0,2461.0,1042.0,3.875,179300.0,NEAR BAY
-122.08,37.66,33.0,1547.0,372.0,1063.0,356.0,2.5625,154300.0,NEAR BAY
-122.07,37.65,31.0,3300.0,790.0,2181.0,740.0,3.016,161800.0,NEAR BAY
-122.08,37.65,17.0,5018.0,1439.0,3069.0,1299.0,2.7694,161900.0,NEAR BAY
-122.08,37.65,35.0,1813.0,393.0,1093.0,374.0,3.6818,165400.0,NEAR BAY
-122.08,37.66,37.0,1997.0,436.0,1349.0,437.0,2.1382,166600.0,NEAR BAY
-122.1,37.66,37.0,901.0,191.0,599.0,206.0,3.7303,149700.0,NEAR BAY
-122.1,37.66,35.0,686.0,142.0,480.0,149.0,3.875,162100.0,NEAR BAY
-122.1,37.66,33.0,1954.0,464.0,1293.0,448.0,3.0489,152600.0,NEAR BAY
-122.09,37.65,27.0,2630.0,722.0,1414.0,634.0,2.8203,195200.0,NEAR BAY
-122.09,37.65,35.0,1130.0,192.0,543.0,184.0,4.3897,190600.0,NEAR BAY
-122.09,37.65,35.0,1184.0,200.0,572.0,194.0,4.7143,193800.0,NEAR BAY
-122.1,37.66,34.0,656.0,115.0,342.0,112.0,4.6875,200600.0,NEAR BAY
-122.11,37.66,29.0,2544.0,643.0,2332.0,603.0,3.2091,150000.0,NEAR BAY
-122.1,37.66,36.0,1305.0,225.0,768.0,234.0,4.275,185300.0,NEAR BAY
-122.11,37.66,36.0,1755.0,316.0,913.0,299.0,4.1302,172700.0,NEAR BAY
-122.11,37.66,35.0,2843.0,652.0,1726.0,643.0,3.09,174100.0,NEAR BAY
-122.1,37.65,25.0,2538.0,494.0,1185.0,501.0,4.5417,194400.0,NEAR BAY
-122.1,37.64,28.0,1784.0,311.0,735.0,278.0,4.6635,206700.0,NEAR BAY
-122.1,37.65,31.0,1797.0,327.0,796.0,319.0,4.4427,204500.0,NEAR BAY
-122.1,37.65,36.0,410.0,76.0,252.0,82.0,4.5303,175000.0,NEAR BAY
-122.12,37.65,26.0,162.0,27.0,86.0,25.0,2.375,137500.0,NEAR BAY
-122.1,37.63,18.0,9963.0,2031.0,5613.0,1946.0,3.8171,187200.0,NEAR BAY
-122.1,37.61,35.0,2361.0,458.0,1727.0,467.0,4.5281,173600.0,NEAR BAY
-122.13,37.66,19.0,862.0,167.0,407.0,183.0,4.3456,163000.0,NEAR BAY
-122.11,37.65,18.0,4335.0,808.0,2041.0,734.0,3.4861,331600.0,NEAR BAY
-122.11,37.64,31.0,1487.0,280.0,854.0,301.0,5.2312,197600.0,NEAR BAY
-122.11,37.64,8.0,3592.0,849.0,1907.0,746.0,3.6708,197900.0,NEAR BAY
-122.12,37.64,40.0,432.0,102.0,264.0,77.0,3.8875,228100.0,NEAR BAY
-122.09,37.63,34.0,1457.0,242.0,735.0,249.0,3.9167,189500.0,NEAR BAY
-122.09,37.64,32.0,1578.0,284.0,836.0,292.0,3.9063,184200.0,NEAR BAY
-122.1,37.63,29.0,2172.0,435.0,1377.0,408.0,3.7895,180900.0,NEAR BAY
-122.08,37.64,36.0,1340.0,245.0,789.0,248.0,3.8,172000.0,NEAR BAY
-122.08,37.64,36.0,1116.0,199.0,662.0,226.0,5.7309,177900.0,NEAR BAY
-122.09,37.64,36.0,1885.0,307.0,853.0,271.0,4.1141,173100.0,NEAR BAY
-122.09,37.64,36.0,1180.0,212.0,664.0,200.0,5.2838,172600.0,NEAR BAY
-122.08,37.64,30.0,5267.0,1253.0,4065.0,1113.0,3.3479,182100.0,NEAR BAY
-122.08,37.64,23.0,1897.0,440.0,1109.0,418.0,3.142,179500.0,NEAR BAY
-122.08,37.63,31.0,767.0,171.0,548.0,185.0,3.7614,176000.0,NEAR BAY
-122.08,37.63,33.0,691.0,127.0,431.0,149.0,4.25,192600.0,NEAR BAY
-122.08,37.64,36.0,786.0,133.0,463.0,160.0,3.9338,182700.0,NEAR BAY
-122.07,37.64,22.0,5861.0,1516.0,5436.0,1463.0,2.5158,134900.0,NEAR BAY
-122.07,37.63,27.0,2784.0,723.0,2028.0,693.0,2.4808,157600.0,NEAR BAY
-122.07,37.64,25.0,4524.0,860.0,2426.0,862.0,4.7083,190900.0,NEAR BAY
-122.06,37.64,37.0,1468.0,304.0,1038.0,282.0,4.1652,158200.0,NEAR BAY
-122.06,37.64,20.0,1655.0,450.0,857.0,430.0,3.5541,350000.0,NEAR BAY
-122.06,37.65,33.0,1227.0,286.0,848.0,291.0,3.8036,158200.0,NEAR BAY
-122.06,37.64,33.0,1160.0,252.0,729.0,220.0,3.8259,146100.0,NEAR BAY
-122.04,37.63,33.0,952.0,172.0,369.0,159.0,3.2331,226700.0,NEAR BAY
-122.03,37.62,35.0,2072.0,352.0,1001.0,350.0,4.7109,198700.0,NEAR BAY
-122.03,37.62,32.0,2964.0,547.0,1472.0,527.0,4.2468,221200.0,NEAR BAY
-122.04,37.62,35.0,1032.0,173.0,453.0,176.0,6.396,208500.0,NEAR BAY
-122.04,37.62,35.0,657.0,118.0,328.0,134.0,3.8125,204200.0,NEAR BAY
-122.04,37.62,32.0,1540.0,324.0,793.0,302.0,3.2857,193200.0,NEAR BAY
-122.03,37.62,35.0,1298.0,236.0,632.0,204.0,3.8929,209500.0,NEAR BAY
-122.03,37.61,36.0,1409.0,271.0,1002.0,281.0,3.7262,164900.0,NEAR BAY
-122.03,37.61,37.0,1383.0,259.0,808.0,241.0,4.0125,161400.0,NEAR BAY
-122.04,37.61,36.0,1151.0,216.0,727.0,215.0,4.1719,187000.0,NEAR BAY
-122.04,37.62,35.0,899.0,179.0,455.0,185.0,4.2857,190400.0,NEAR BAY
-122.08,37.63,37.0,1793.0,364.0,1534.0,346.0,3.6458,156600.0,NEAR BAY
-122.08,37.62,17.0,2485.0,518.0,1139.0,550.0,2.6875,157300.0,NEAR BAY
-122.07,37.63,35.0,1931.0,376.0,1175.0,337.0,3.7292,168100.0,NEAR BAY
-122.07,37.63,24.0,2329.0,465.0,1401.0,453.0,4.5913,177600.0,NEAR BAY
-122.06,37.63,12.0,6711.0,1374.0,3388.0,1289.0,3.8625,208900.0,NEAR BAY
-122.06,37.63,23.0,1939.0,356.0,841.0,364.0,3.3611,169200.0,NEAR BAY
-122.05,37.61,16.0,1642.0,346.0,705.0,351.0,2.8971,163900.0,NEAR BAY
-122.08,37.63,34.0,1619.0,293.0,1148.0,310.0,4.0326,164700.0,NEAR BAY
-122.08,37.63,35.0,517.0,108.0,391.0,107.0,4.0682,156900.0,NEAR BAY
-122.09,37.63,36.0,1570.0,274.0,992.0,249.0,5.3644,168800.0,NEAR BAY
-122.09,37.63,35.0,1213.0,221.0,790.0,243.0,4.7019,174100.0,NEAR BAY
-122.08,37.62,27.0,1826.0,309.0,1016.0,313.0,5.64,206500.0,NEAR BAY
-122.08,37.61,26.0,2261.0,443.0,1039.0,395.0,3.7931,203900.0,NEAR BAY
-121.99,37.61,9.0,3666.0,711.0,2341.0,703.0,4.6458,217000.0,<1H OCEAN
-122.02,37.6,36.0,1633.0,345.0,1382.0,338.0,3.694,159600.0,NEAR BAY
-122.02,37.6,31.0,2155.0,522.0,1858.0,437.0,2.652,159800.0,NEAR BAY
-122.02,37.6,32.0,1295.0,280.0,1156.0,300.0,3.5,154300.0,NEAR BAY
-122.02,37.6,32.0,1295.0,295.0,1097.0,328.0,3.2386,149600.0,NEAR BAY
-122.03,37.61,33.0,1518.0,302.0,831.0,268.0,5.097,188600.0,NEAR BAY
-122.04,37.6,17.0,3314.0,638.0,1873.0,602.0,4.3875,238500.0,NEAR BAY
-122.06,37.6,22.0,3009.0,497.0,1640.0,514.0,4.625,235300.0,NEAR BAY
-122.08,37.61,6.0,2605.0,474.0,1568.0,433.0,5.0406,261400.0,NEAR BAY
-122.06,37.6,17.0,5159.0,832.0,3174.0,817.0,5.8704,234400.0,NEAR BAY
-122.06,37.6,18.0,1726.0,276.0,1186.0,310.0,5.3226,231700.0,NEAR BAY
-122.08,37.59,16.0,1816.0,365.0,1367.0,355.0,4.235,156300.0,NEAR BAY
-122.07,37.59,13.0,2578.0,551.0,1680.0,528.0,4.825,222000.0,NEAR BAY
-122.08,37.58,15.0,2576.0,418.0,1657.0,410.0,5.5218,254400.0,NEAR BAY
-122.07,37.58,16.0,1644.0,251.0,1033.0,267.0,6.5116,244300.0,NEAR BAY
-122.07,37.58,16.0,1606.0,240.0,1117.0,268.0,6.0661,247000.0,NEAR BAY
-122.08,37.58,16.0,3349.0,544.0,2003.0,488.0,6.0074,236500.0,NEAR BAY
-122.07,37.59,15.0,3475.0,686.0,2568.0,653.0,4.6211,151400.0,NEAR BAY
-122.07,37.58,16.0,1893.0,338.0,1461.0,344.0,5.225,213700.0,NEAR BAY
-122.04,37.59,14.0,1727.0,302.0,1116.0,273.0,5.3428,243600.0,NEAR BAY
-122.05,37.59,15.0,6243.0,1273.0,3163.0,1274.0,3.7462,212500.0,NEAR BAY
-122.03,37.6,24.0,2077.0,383.0,1488.0,389.0,4.5721,214700.0,NEAR BAY
-122.02,37.59,18.0,1165.0,333.0,855.0,319.0,3.6923,213200.0,NEAR BAY
-122.03,37.59,16.0,4371.0,889.0,2530.0,817.0,4.6786,256000.0,NEAR BAY
-122.01,37.59,2.0,838.0,295.0,240.0,149.0,2.875,237500.0,NEAR BAY
-122.02,37.58,15.0,3052.0,760.0,2097.0,728.0,3.3617,178100.0,NEAR BAY
-122.01,37.58,17.0,4313.0,717.0,2629.0,721.0,5.7579,231800.0,NEAR BAY
-122.09,37.6,36.0,385.0,94.0,295.0,92.0,2.9706,147900.0,NEAR BAY
-122.08,37.6,10.0,3046.0,678.0,2056.0,628.0,3.9022,191700.0,NEAR BAY
-121.97,37.57,21.0,4342.0,783.0,2172.0,789.0,4.6146,247600.0,<1H OCEAN
-121.96,37.58,15.0,3575.0,597.0,1777.0,559.0,5.7192,283500.0,<1H OCEAN
-121.98,37.58,20.0,4126.0,1031.0,2079.0,975.0,3.6832,216900.0,<1H OCEAN
-121.99,37.58,31.0,2878.0,478.0,1276.0,485.0,6.2073,282500.0,<1H OCEAN
-122.0,37.58,6.0,4405.0,717.0,2071.0,688.0,5.8151,295600.0,<1H OCEAN
-122.01,37.57,14.0,16199.0,2993.0,8117.0,2847.0,5.8322,281800.0,NEAR BAY
-122.04,37.58,14.0,14917.0,2708.0,8012.0,2606.0,5.6277,269800.0,NEAR BAY
-122.04,37.57,12.0,5719.0,1064.0,3436.0,1057.0,5.2879,231200.0,NEAR BAY
-122.07,37.57,8.0,8647.0,1407.0,5019.0,1379.0,6.5615,318300.0,NEAR BAY
-122.06,37.58,15.0,8112.0,1376.0,4576.0,1348.0,5.6758,253400.0,NEAR BAY
-122.05,37.57,7.0,10648.0,1818.0,6075.0,1797.0,6.1047,278200.0,NEAR BAY
-121.93,37.49,5.0,1150.0,311.0,648.0,245.0,3.5714,300000.0,<1H OCEAN
-122.07,37.52,3.0,14014.0,2861.0,7205.0,2753.0,6.0824,273500.0,NEAR BAY
-122.02,37.56,23.0,4332.0,857.0,2461.0,829.0,4.3594,223400.0,NEAR BAY
-122.02,37.56,35.0,1716.0,312.0,914.0,316.0,5.5737,214500.0,NEAR BAY
-122.03,37.56,31.0,4981.0,964.0,2841.0,924.0,4.8962,220200.0,NEAR BAY
-122.03,37.56,24.0,8444.0,1492.0,4446.0,1491.0,4.6978,240300.0,NEAR BAY
-122.01,37.56,6.0,3028.0,778.0,1531.0,736.0,4.4259,158000.0,NEAR BAY
-122.01,37.55,26.0,2068.0,532.0,1434.0,495.0,3.3008,224200.0,NEAR BAY
-122.02,37.55,33.0,1325.0,274.0,909.0,267.0,4.5687,177200.0,NEAR BAY
-122.01,37.56,24.0,2563.0,485.0,1174.0,501.0,3.8179,216100.0,NEAR BAY
-121.99,37.56,18.0,5505.0,1005.0,2641.0,971.0,5.0,269700.0,<1H OCEAN
-121.99,37.56,20.0,6462.0,1294.0,3288.0,1235.0,4.3393,231200.0,<1H OCEAN
-121.96,37.55,4.0,3746.0,993.0,1606.0,838.0,4.1387,162500.0,<1H OCEAN
-121.97,37.56,13.0,8918.0,1823.0,4518.0,1772.0,4.8052,254000.0,<1H OCEAN
-121.97,37.54,31.0,1949.0,344.0,986.0,322.0,4.6349,196200.0,<1H OCEAN
-121.97,37.55,17.0,4924.0,1247.0,3080.0,1182.0,3.168,189400.0,<1H OCEAN
-121.98,37.54,17.0,5133.0,1375.0,3386.0,1339.0,3.1326,220800.0,<1H OCEAN
-121.99,37.55,16.0,6647.0,2098.0,4649.0,1903.0,2.9074,213800.0,<1H OCEAN
-121.94,37.56,15.0,5674.0,748.0,2412.0,714.0,8.3996,442900.0,<1H OCEAN
-121.95,37.55,21.0,10687.0,1540.0,4552.0,1520.0,6.6478,333400.0,<1H OCEAN
-121.93,37.54,25.0,1354.0,192.0,596.0,220.0,6.629,352400.0,<1H OCEAN
-121.94,37.54,27.0,3715.0,526.0,1631.0,538.0,6.2179,305300.0,<1H OCEAN
-121.94,37.53,33.0,2095.0,342.0,941.0,304.0,5.761,259600.0,<1H OCEAN
-121.95,37.54,29.0,3517.0,645.0,1724.0,585.0,4.6641,248900.0,<1H OCEAN
-121.94,37.54,31.0,2537.0,382.0,1067.0,410.0,6.7599,356000.0,<1H OCEAN
-121.96,37.54,14.0,5106.0,1207.0,2738.0,1108.0,3.9909,236000.0,<1H OCEAN
-121.96,37.53,23.0,2215.0,475.0,1278.0,492.0,4.2955,218800.0,<1H OCEAN
-121.96,37.53,28.0,2949.0,529.0,1538.0,545.0,4.9615,228000.0,<1H OCEAN
-121.96,37.53,18.0,2375.0,652.0,1252.0,586.0,2.6198,235900.0,<1H OCEAN
-121.97,37.54,28.0,2312.0,496.0,1344.0,467.0,4.7135,203200.0,<1H OCEAN
-121.97,37.53,35.0,2277.0,420.0,1353.0,413.0,4.75,197000.0,<1H OCEAN
-121.97,37.53,26.0,2506.0,387.0,1273.0,406.0,5.4299,236400.0,<1H OCEAN
-121.98,37.53,28.0,2829.0,566.0,1610.0,540.0,4.6,223200.0,<1H OCEAN
-121.98,37.53,26.0,3179.0,703.0,2142.0,639.0,4.1947,222700.0,<1H OCEAN
-121.99,37.54,26.0,2332.0,371.0,1285.0,404.0,5.388,225000.0,<1H OCEAN
-121.99,37.54,18.0,3584.0,715.0,1673.0,661.0,3.9444,240100.0,<1H OCEAN
-121.99,37.54,28.0,3046.0,507.0,1772.0,516.0,5.3283,227900.0,<1H OCEAN
-121.99,37.55,28.0,2414.0,415.0,1106.0,453.0,4.8403,268600.0,<1H OCEAN
-122.0,37.54,29.0,4133.0,744.0,2023.0,749.0,5.1616,275100.0,<1H OCEAN
-122.01,37.55,34.0,2791.0,495.0,1276.0,468.0,4.9167,256300.0,NEAR BAY
-122.0,37.55,27.0,6103.0,1249.0,3026.0,1134.0,4.1591,332400.0,<1H OCEAN
-122.01,37.54,32.0,2572.0,406.0,1128.0,395.0,5.0,287600.0,NEAR BAY
-122.0,37.54,26.0,1910.0,371.0,852.0,357.0,5.8325,298900.0,<1H OCEAN
-122.01,37.53,27.0,1890.0,303.0,889.0,314.0,5.7057,287600.0,NEAR BAY
-121.99,37.53,25.0,5405.0,939.0,2831.0,923.0,5.0423,222200.0,<1H OCEAN
-121.97,37.52,26.0,3761.0,623.0,1776.0,613.0,4.5317,232600.0,<1H OCEAN
-121.97,37.51,25.0,3333.0,511.0,1671.0,504.0,5.4359,258300.0,<1H OCEAN
-121.97,37.52,23.0,4925.0,948.0,2530.0,894.0,5.0824,230900.0,<1H OCEAN
-121.95,37.52,33.0,3994.0,764.0,2721.0,763.0,5.2308,196900.0,<1H OCEAN
-121.96,37.51,22.0,5811.0,1125.0,3215.0,1086.0,4.4107,223500.0,<1H OCEAN
-121.96,37.52,26.0,4211.0,741.0,2352.0,734.0,5.2396,223900.0,<1H OCEAN
-121.93,37.53,27.0,5532.0,973.0,2855.0,960.0,4.7478,243500.0,<1H OCEAN
-121.92,37.53,7.0,28258.0,3864.0,12203.0,3701.0,8.4045,451100.0,<1H OCEAN
-121.89,37.49,9.0,4909.0,577.0,1981.0,591.0,9.7194,500001.0,<1H OCEAN
-121.92,37.49,10.0,7441.0,1588.0,3571.0,1466.0,5.1643,193100.0,<1H OCEAN
-121.92,37.48,23.0,4314.0,676.0,1972.0,623.0,5.3813,264400.0,<1H OCEAN
-121.92,37.47,26.0,2016.0,322.0,1105.0,357.0,6.0878,246900.0,<1H OCEAN
-121.91,37.47,13.0,5377.0,744.0,2759.0,760.0,6.868,337300.0,<1H OCEAN
-122.03,37.55,22.0,9167.0,1373.0,4319.0,1404.0,6.992,284800.0,NEAR BAY
-122.03,37.55,26.0,3087.0,532.0,1597.0,483.0,4.9118,217300.0,NEAR BAY
-122.04,37.55,23.0,3170.0,532.0,1446.0,515.0,4.4357,291700.0,NEAR BAY
-122.04,37.54,26.0,2145.0,369.0,1285.0,377.0,4.9464,223800.0,NEAR BAY
-122.05,37.54,25.0,4209.0,731.0,2568.0,703.0,5.2882,223100.0,NEAR BAY
-122.05,37.55,23.0,4247.0,835.0,2357.0,823.0,5.1321,211300.0,NEAR BAY
-122.04,37.53,25.0,4458.0,922.0,2998.0,890.0,3.9667,218500.0,NEAR BAY
-122.04,37.5,17.0,407.0,97.0,307.0,100.0,3.1696,156300.0,NEAR BAY
-122.06,37.54,20.0,6483.0,1068.0,3526.0,1060.0,5.0838,248200.0,NEAR BAY
-122.03,37.54,35.0,1867.0,343.0,1213.0,338.0,4.8214,186000.0,NEAR BAY
-122.03,37.54,6.0,2918.0,672.0,1911.0,639.0,4.1406,178200.0,NEAR BAY
-122.04,37.53,34.0,2316.0,478.0,1524.0,467.0,3.7364,190400.0,NEAR BAY
-122.02,37.54,31.0,1240.0,264.0,719.0,236.0,3.535,210300.0,NEAR BAY
-122.03,37.54,16.0,4458.0,856.0,3038.0,870.0,5.0739,208000.0,NEAR BAY
-122.03,37.53,18.0,1746.0,437.0,1268.0,404.0,3.256,183300.0,NEAR BAY
-122.01,37.53,19.0,4572.0,712.0,2346.0,709.0,6.0667,245700.0,NEAR BAY
-122.02,37.53,21.0,4280.0,673.0,2216.0,681.0,5.7072,242200.0,NEAR BAY
-122.0,37.51,7.0,6352.0,1390.0,3223.0,1316.0,4.9867,181700.0,<1H OCEAN
-121.92,37.72,4.0,7477.0,1576.0,2937.0,1506.0,5.1437,299400.0,<1H OCEAN
-121.92,37.72,22.0,4638.0,716.0,2302.0,687.0,5.347,219500.0,<1H OCEAN
-121.91,37.71,25.0,4377.0,668.0,2038.0,671.0,5.7233,231800.0,<1H OCEAN
-121.93,37.72,26.0,3816.0,637.0,1935.0,642.0,4.4697,221300.0,<1H OCEAN
-121.93,37.72,26.0,2806.0,459.0,1453.0,444.0,4.9107,213800.0,<1H OCEAN
-121.93,37.71,26.0,4822.0,845.0,2288.0,805.0,4.2281,206000.0,<1H OCEAN
-121.94,37.71,15.0,6473.0,1027.0,2484.0,970.0,5.0143,271100.0,<1H OCEAN
-121.96,37.71,6.0,8072.0,1050.0,3386.0,1062.0,7.2494,336500.0,<1H OCEAN
-121.92,37.64,46.0,1280.0,209.0,512.0,208.0,5.1406,315600.0,INLAND
-121.93,37.66,24.0,3166.0,424.0,1081.0,400.0,8.3337,500001.0,<1H OCEAN
-121.92,37.69,13.0,3742.0,555.0,1590.0,559.0,7.316,285400.0,<1H OCEAN
-121.9,37.66,18.0,7397.0,1137.0,3126.0,1115.0,6.4994,323000.0,INLAND
-121.92,37.68,23.0,1655.0,223.0,706.0,219.0,7.2211,291900.0,<1H OCEAN
-121.93,37.7,3.0,2456.0,582.0,793.0,456.0,4.4087,225600.0,<1H OCEAN
-121.91,37.69,23.0,2179.0,308.0,926.0,299.0,5.9345,259600.0,<1H OCEAN
-121.91,37.68,20.0,1804.0,254.0,831.0,260.0,6.177,262900.0,<1H OCEAN
-121.91,37.68,18.0,3631.0,547.0,1700.0,520.0,5.817,257300.0,<1H OCEAN
-121.91,37.69,18.0,2876.0,423.0,1395.0,427.0,6.3132,259200.0,<1H OCEAN
-121.89,37.68,12.0,7490.0,1207.0,3329.0,1136.0,6.3373,339700.0,<1H OCEAN
-121.88,37.68,23.0,2234.0,270.0,854.0,286.0,7.333,337200.0,INLAND
-121.89,37.68,22.0,1898.0,239.0,734.0,245.0,6.2918,334100.0,<1H OCEAN
-121.88,37.67,16.0,4070.0,624.0,1543.0,577.0,6.5214,311500.0,INLAND
-121.88,37.67,25.0,2244.0,301.0,937.0,324.0,6.4524,296900.0,INLAND
-121.89,37.67,20.0,2948.0,471.0,1181.0,474.0,6.0604,247900.0,INLAND
-121.89,37.67,19.0,2034.0,288.0,852.0,295.0,6.5285,300400.0,INLAND
-121.9,37.67,15.0,2130.0,273.0,876.0,285.0,7.2639,332400.0,<1H OCEAN
-121.9,37.67,7.0,9540.0,1294.0,3926.0,1229.0,7.4353,389800.0,<1H OCEAN
-121.88,37.66,29.0,2702.0,680.0,1360.0,642.0,3.1127,233000.0,INLAND
-121.87,37.66,39.0,522.0,116.0,161.0,102.0,2.4896,238500.0,INLAND
-121.87,37.66,52.0,775.0,134.0,315.0,123.0,5.0677,233300.0,INLAND
-121.89,37.66,3.0,1565.0,464.0,769.0,461.0,2.1187,231300.0,INLAND
-121.88,37.64,20.0,1309.0,184.0,514.0,172.0,10.9506,475800.0,INLAND
-121.87,37.57,13.0,5519.0,833.0,2444.0,825.0,7.0691,393200.0,<1H OCEAN
-121.87,37.67,10.0,4337.0,800.0,1813.0,743.0,5.5,247200.0,INLAND
-121.87,37.67,28.0,1812.0,294.0,853.0,278.0,4.9879,229400.0,INLAND
-121.85,37.68,4.0,4719.0,741.0,1895.0,742.0,6.8132,282500.0,INLAND
-121.85,37.66,14.0,4236.0,701.0,1833.0,663.0,5.6399,300600.0,INLAND
-121.86,37.66,22.0,3634.0,664.0,1699.0,640.0,4.1597,293200.0,INLAND
-121.87,37.66,27.0,1569.0,242.0,583.0,214.0,5.7519,278500.0,INLAND
-121.84,37.66,13.0,13182.0,2074.0,4847.0,1950.0,5.6417,352900.0,INLAND
-121.85,37.72,43.0,228.0,40.0,83.0,42.0,10.3203,400000.0,INLAND
-121.82,37.73,47.0,127.0,23.0,51.0,21.0,4.3472,375000.0,INLAND
-121.86,37.7,13.0,9621.0,1344.0,4389.0,1391.0,6.6827,313700.0,INLAND
-121.89,37.69,4.0,6159.0,1510.0,2649.0,1241.0,3.62,139300.0,<1H OCEAN
-121.77,37.65,16.0,4290.0,554.0,1952.0,576.0,7.3588,327500.0,INLAND
-121.62,37.61,26.0,1786.0,306.0,771.0,279.0,5.7239,430600.0,INLAND
-121.61,37.77,32.0,404.0,74.0,144.0,58.0,4.2083,125000.0,INLAND
-121.72,37.7,17.0,1671.0,352.0,729.0,252.0,6.1023,450000.0,INLAND
-121.73,37.71,12.0,5608.0,1049.0,2595.0,1067.0,3.9864,200200.0,INLAND
-121.75,37.71,11.0,12070.0,2220.0,5826.0,2125.0,4.8624,192400.0,INLAND
-121.77,37.74,25.0,494.0,81.0,254.0,85.0,9.1531,418800.0,INLAND
-121.8,37.7,22.0,5533.0,943.0,2474.0,910.0,4.7361,216800.0,INLAND
-121.8,37.69,17.0,3956.0,639.0,2222.0,662.0,5.4324,215500.0,INLAND
-121.82,37.69,12.0,1906.0,351.0,802.0,319.0,4.9375,227700.0,INLAND
-121.76,37.69,29.0,3433.0,711.0,1919.0,709.0,3.3841,184400.0,INLAND
-121.77,37.68,36.0,1687.0,372.0,950.0,372.0,3.5532,158400.0,INLAND
-121.78,37.69,34.0,2358.0,498.0,1157.0,461.0,3.3618,174600.0,INLAND
-121.78,37.69,35.0,2853.0,588.0,1761.0,572.0,4.3533,168400.0,INLAND
-121.79,37.69,25.0,6296.0,1082.0,3200.0,1047.0,4.5357,188400.0,INLAND
-121.76,37.7,9.0,3980.0,736.0,1705.0,679.0,5.7068,256700.0,INLAND
-121.75,37.69,26.0,2647.0,536.0,1422.0,522.0,3.7212,183800.0,INLAND
-121.75,37.68,35.0,1755.0,299.0,702.0,263.0,5.2443,183400.0,INLAND
-121.76,37.68,35.0,1864.0,357.0,1189.0,349.0,4.2361,177500.0,INLAND
-121.76,37.68,32.0,1078.0,207.0,555.0,197.0,3.1856,186900.0,INLAND
-121.73,37.68,17.0,20354.0,3493.0,8768.0,3293.0,5.4496,238900.0,INLAND
-121.78,37.68,17.0,3112.0,872.0,1392.0,680.0,3.0222,172500.0,INLAND
-121.77,37.68,44.0,495.0,112.0,277.0,109.0,2.6667,179200.0,INLAND
-121.76,37.68,52.0,2157.0,418.0,929.0,419.0,3.7301,204400.0,INLAND
-121.77,37.68,41.0,1501.0,299.0,629.0,288.0,4.6806,209400.0,INLAND
-121.77,37.67,20.0,8068.0,1217.0,3489.0,1259.0,5.7907,264200.0,INLAND
-121.76,37.67,6.0,3023.0,518.0,1225.0,468.0,6.3705,350000.0,INLAND
-121.78,37.67,26.0,2211.0,344.0,1024.0,321.0,5.2649,199800.0,INLAND
-121.79,37.67,26.0,2163.0,339.0,947.0,346.0,6.0797,211000.0,INLAND
-121.78,37.67,28.0,1773.0,278.0,804.0,269.0,4.8571,201100.0,INLAND
-121.78,37.66,25.0,1947.0,418.0,900.0,354.0,3.8523,193000.0,INLAND
-121.79,37.66,22.0,14701.0,2210.0,6693.0,2232.0,5.98,245000.0,INLAND
-119.78,38.69,17.0,1364.0,282.0,338.0,152.0,2.45,117600.0,INLAND
-119.93,38.72,15.0,2061.0,465.0,573.0,196.0,2.2417,97900.0,INLAND
-120.0,38.52,16.0,3045.0,543.0,202.0,102.0,3.15,140600.0,INLAND
-120.56,38.48,14.0,3545.0,702.0,946.0,411.0,3.4609,120900.0,INLAND
-120.59,38.45,13.0,2944.0,558.0,1091.0,466.0,3.0,119000.0,INLAND
-120.55,38.46,16.0,1443.0,249.0,435.0,181.0,3.2031,129200.0,INLAND
-120.55,38.45,17.0,2277.0,474.0,767.0,356.0,2.5208,99100.0,INLAND
-120.55,38.43,18.0,1564.0,357.0,618.0,277.0,2.3549,108900.0,INLAND
-120.25,38.55,15.0,4403.0,891.0,1103.0,433.0,3.0125,111700.0,INLAND
-120.79,38.54,34.0,1133.0,254.0,495.0,187.0,2.05,68900.0,INLAND
-120.8,38.51,23.0,1001.0,195.0,369.0,157.0,3.125,96400.0,INLAND
-120.65,38.5,10.0,1783.0,337.0,638.0,262.0,2.65,116700.0,INLAND
-120.76,38.47,17.0,1521.0,309.0,607.0,240.0,3.5,123800.0,INLAND
-120.88,38.45,25.0,1374.0,297.0,657.0,288.0,2.5476,97900.0,INLAND
-120.79,38.43,40.0,1391.0,246.0,546.0,214.0,3.9107,129800.0,INLAND
-120.69,38.44,13.0,1473.0,265.0,597.0,228.0,4.2917,121300.0,INLAND
-120.93,38.5,15.0,1248.0,234.0,529.0,216.0,3.3393,107200.0,INLAND
-120.97,38.42,16.0,1748.0,322.0,4930.0,287.0,4.3029,121900.0,INLAND
-120.87,38.37,28.0,3998.0,765.0,1614.0,698.0,2.8125,113400.0,INLAND
-120.98,38.34,27.0,3471.0,653.0,1793.0,600.0,3.5508,99100.0,INLAND
-120.88,38.32,18.0,2791.0,492.0,1187.0,438.0,3.2589,103000.0,INLAND
-120.93,38.26,13.0,2084.0,449.0,834.0,305.0,3.2937,114200.0,INLAND
-120.72,38.42,17.0,5654.0,1085.0,2237.0,953.0,3.0465,144100.0,INLAND
-120.77,38.38,15.0,4221.0,816.0,1737.0,743.0,2.3125,128600.0,INLAND
-120.72,38.38,9.0,1787.0,347.0,806.0,306.0,2.525,157200.0,INLAND
-120.66,38.4,18.0,2144.0,420.0,985.0,381.0,3.175,118500.0,INLAND
-120.65,38.42,23.0,1538.0,305.0,730.0,267.0,2.6078,116700.0,INLAND
-120.62,38.39,15.0,3750.0,691.0,1444.0,603.0,2.7399,134800.0,INLAND
-120.69,38.36,19.0,3267.0,614.0,1252.0,566.0,2.7236,109900.0,INLAND
-120.71,38.34,16.0,1257.0,231.0,559.0,213.0,4.4531,144300.0,INLAND
-120.8,38.31,37.0,1341.0,256.0,533.0,242.0,3.2135,123600.0,INLAND
-121.83,39.76,12.0,9831.0,1921.0,4644.0,1775.0,3.1142,112600.0,INLAND
-121.82,39.76,23.0,6010.0,1116.0,2710.0,1149.0,3.0068,107300.0,INLAND
-121.86,39.78,12.0,7653.0,1578.0,3628.0,1494.0,3.0905,117800.0,INLAND
-121.85,39.77,17.0,5273.0,1177.0,2446.0,1199.0,1.9362,89900.0,INLAND
-121.84,39.76,14.0,2351.0,620.0,1215.0,548.0,2.3155,102300.0,INLAND
-121.86,39.76,19.0,7254.0,1785.0,4030.0,1667.0,2.0094,87300.0,INLAND
-121.89,39.76,15.0,10265.0,1860.0,4591.0,1906.0,3.07,142600.0,INLAND
-121.88,39.74,12.0,14631.0,3298.0,7517.0,3262.0,1.6785,153100.0,INLAND
-121.87,39.75,22.0,1707.0,296.0,822.0,297.0,3.6625,126600.0,INLAND
-121.86,39.75,18.0,1651.0,309.0,856.0,293.0,3.5046,118300.0,INLAND
-121.87,39.74,7.0,1737.0,290.0,747.0,265.0,3.9,147000.0,INLAND
-121.85,39.75,39.0,568.0,127.0,267.0,129.0,1.8095,78100.0,INLAND
-121.85,39.74,39.0,1139.0,265.0,623.0,264.0,2.2833,85800.0,INLAND
-121.85,39.74,41.0,2901.0,689.0,1426.0,632.0,1.5633,84500.0,INLAND
-121.85,39.73,52.0,444.0,80.0,1107.0,98.0,3.4191,137500.0,INLAND
-121.85,39.73,17.0,3425.0,827.0,2469.0,758.0,0.9393,88900.0,INLAND
-121.86,39.74,13.0,3494.0,843.0,1571.0,784.0,1.1019,120200.0,INLAND
-121.84,39.75,29.0,4362.0,1053.0,2053.0,1000.0,1.7284,74500.0,INLAND
-121.84,39.74,43.0,2976.0,599.0,1181.0,560.0,2.2621,85100.0,INLAND
-121.83,39.74,34.0,3263.0,604.0,1290.0,594.0,2.575,130300.0,INLAND
-121.8,39.75,28.0,2551.0,378.0,1011.0,374.0,4.3309,125200.0,INLAND
-121.82,39.75,29.0,7744.0,1375.0,3316.0,1365.0,3.0253,111400.0,INLAND
-121.82,39.75,37.0,2236.0,372.0,974.0,379.0,3.2016,97000.0,INLAND
-121.8,39.75,11.0,7212.0,1355.0,3264.0,1264.0,3.1125,122600.0,INLAND
-121.79,39.73,8.0,5690.0,1189.0,2887.0,1077.0,3.0625,116300.0,INLAND
-121.78,39.71,8.0,140.0,28.0,84.0,29.0,2.125,179200.0,INLAND
-121.82,39.73,44.0,2923.0,659.0,1371.0,626.0,2.2925,85800.0,INLAND
-121.84,39.73,52.0,677.0,152.0,379.0,154.0,1.6797,94800.0,INLAND
-121.84,39.73,52.0,502.0,100.0,311.0,100.0,1.5481,200000.0,INLAND
-121.84,39.73,52.0,857.0,232.0,520.0,198.0,0.987,112500.0,INLAND
-121.84,39.72,52.0,1457.0,389.0,802.0,342.0,0.9566,69000.0,INLAND
-121.84,39.73,52.0,957.0,263.0,513.0,223.0,1.3672,55000.0,INLAND
-121.83,39.73,52.0,1741.0,401.0,753.0,377.0,2.0064,77900.0,INLAND
-121.85,39.72,18.0,7272.0,1559.0,5022.0,1524.0,1.6911,98800.0,INLAND
-121.83,39.72,52.0,1890.0,420.0,974.0,383.0,1.6827,78700.0,INLAND
-121.81,39.7,21.0,5051.0,1054.0,2948.0,980.0,1.5863,81300.0,INLAND
-121.82,39.73,33.0,2242.0,517.0,1160.0,449.0,1.7426,60300.0,INLAND
-121.82,39.72,42.0,2978.0,694.0,1879.0,679.0,1.5064,66300.0,INLAND
-121.81,39.71,18.0,1222.0,250.0,708.0,281.0,2.0288,116700.0,INLAND
-121.87,39.82,11.0,5103.0,825.0,2456.0,810.0,4.5032,159700.0,INLAND
-121.89,39.71,26.0,2741.0,451.0,1217.0,437.0,3.7007,139200.0,INLAND
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-121.7,37.93,19.0,2005.0,405.0,972.0,403.0,2.2216,156700.0,INLAND
-121.74,37.95,5.0,4980.0,774.0,2399.0,763.0,5.7104,186300.0,INLAND
-121.7,37.93,10.0,3258.0,612.0,1779.0,558.0,4.6587,152500.0,INLAND
-121.6,37.91,13.0,2479.0,394.0,1075.0,350.0,5.1017,241400.0,INLAND
-121.6,37.9,5.0,14684.0,2252.0,4276.0,1722.0,6.9051,340900.0,INLAND
-121.61,37.86,30.0,1428.0,287.0,989.0,287.0,3.691,154400.0,INLAND
-121.64,37.85,22.0,1999.0,415.0,967.0,320.0,4.4583,253900.0,INLAND
-121.8,38.01,46.0,2273.0,495.0,1088.0,447.0,2.2532,109400.0,INLAND
-121.81,38.01,47.0,1942.0,430.0,1074.0,393.0,2.2361,105100.0,INLAND
-121.81,38.01,52.0,1124.0,245.0,528.0,226.0,2.2639,128500.0,INLAND
-121.82,38.02,46.0,176.0,43.0,101.0,40.0,2.2361,93800.0,INLAND
-121.82,38.01,42.0,1017.0,253.0,798.0,266.0,2.1719,99100.0,INLAND
-121.82,38.01,50.0,1120.0,281.0,625.0,239.0,1.5988,96400.0,INLAND
-121.82,38.01,25.0,3018.0,606.0,1614.0,568.0,3.4722,127000.0,INLAND
-121.84,38.02,46.0,66.0,22.0,37.0,21.0,0.536,87500.0,INLAND
-121.78,38.01,19.0,2688.0,469.0,1216.0,422.0,4.4491,133900.0,INLAND
-121.79,38.01,17.0,4032.0,814.0,1749.0,618.0,3.1728,146800.0,INLAND
-121.79,38.0,34.0,3090.0,593.0,1588.0,566.0,3.6118,124700.0,INLAND
-121.8,38.01,44.0,3184.0,581.0,1399.0,548.0,2.7234,110200.0,INLAND
-121.8,38.01,37.0,3058.0,567.0,1351.0,523.0,3.5179,130800.0,INLAND
-121.78,38.0,8.0,2371.0,375.0,1094.0,396.0,5.3245,174500.0,INLAND
-121.77,38.01,13.0,2983.0,534.0,1417.0,510.0,3.9861,168100.0,INLAND
-121.81,37.99,18.0,2807.0,445.0,1315.0,437.0,4.8194,170400.0,INLAND
-121.81,37.99,22.0,2331.0,359.0,1086.0,340.0,5.1435,150800.0,INLAND
-121.82,37.98,13.0,3995.0,605.0,1969.0,607.0,5.0164,165200.0,INLAND
-121.82,38.01,47.0,1265.0,254.0,587.0,247.0,2.6364,93500.0,INLAND
-121.82,38.0,29.0,2070.0,452.0,985.0,420.0,2.8466,113400.0,INLAND
-121.81,38.0,37.0,2724.0,579.0,1400.0,540.0,2.905,97300.0,INLAND
-121.82,38.0,30.0,3268.0,567.0,1714.0,565.0,4.4583,131000.0,INLAND
-121.85,38.0,26.0,3364.0,570.0,1806.0,566.0,4.2647,133400.0,INLAND
-121.85,38.0,24.0,2269.0,584.0,1239.0,542.0,2.0411,100000.0,INLAND
-121.83,38.0,15.0,6365.0,1646.0,3838.0,1458.0,2.5495,103600.0,INLAND
-121.83,38.0,25.0,1710.0,288.0,799.0,259.0,4.8359,145300.0,INLAND
-121.83,37.99,23.0,1150.0,174.0,572.0,174.0,4.9167,152400.0,INLAND
-121.83,37.99,23.0,1970.0,296.0,935.0,279.0,4.4853,145900.0,INLAND
-121.83,37.99,18.0,2741.0,449.0,1507.0,460.0,4.7566,142500.0,INLAND
-121.83,38.0,8.0,2572.0,738.0,1384.0,684.0,1.7161,75800.0,INLAND
-121.84,37.99,13.0,4545.0,952.0,2188.0,901.0,3.3625,126100.0,INLAND
-121.84,37.99,15.0,2380.0,385.0,1292.0,388.0,4.6029,142600.0,INLAND
-121.83,37.99,16.0,2919.0,462.0,1456.0,453.0,5.6779,164700.0,INLAND
-121.79,38.0,36.0,1141.0,234.0,562.0,213.0,2.5893,108500.0,INLAND
-121.79,37.99,10.0,4156.0,609.0,1878.0,586.0,5.6506,178600.0,INLAND
-121.79,37.99,18.0,3646.0,534.0,1651.0,535.0,5.7321,164700.0,INLAND
-121.8,38.0,34.0,2738.0,475.0,1316.0,459.0,3.5368,122500.0,INLAND
-121.8,37.99,16.0,3077.0,465.0,1575.0,446.0,5.5,179500.0,INLAND
-121.77,37.99,4.0,5623.0,780.0,2429.0,716.0,5.4409,205100.0,INLAND
-121.88,38.03,10.0,2769.0,619.0,1045.0,469.0,4.1111,158600.0,INLAND
-121.9,38.04,36.0,1489.0,331.0,838.0,259.0,1.2024,90200.0,INLAND
-121.86,38.04,52.0,242.0,59.0,188.0,54.0,1.3958,67500.0,INLAND
-121.87,38.02,52.0,2264.0,439.0,1403.0,476.0,2.7083,99400.0,INLAND
-121.88,38.03,52.0,1225.0,250.0,725.0,231.0,2.0,101400.0,INLAND
-121.9,38.03,51.0,2982.0,689.0,1831.0,608.0,2.0034,87700.0,INLAND
-121.88,38.02,46.0,2112.0,466.0,1249.0,382.0,2.5737,87000.0,INLAND
-121.89,38.02,36.0,2707.0,550.0,1827.0,545.0,3.3371,94600.0,INLAND
-121.9,38.02,5.0,1560.0,369.0,1037.0,372.0,3.6154,181800.0,INLAND
-121.87,38.02,31.0,3644.0,746.0,2229.0,678.0,3.1389,117800.0,INLAND
-121.88,38.0,16.0,2605.0,440.0,1352.0,408.0,4.1947,140300.0,INLAND
-121.88,38.01,9.0,5329.0,1284.0,2827.0,1202.0,2.7374,150000.0,INLAND
-121.89,38.01,30.0,4114.0,743.0,1994.0,722.0,4.2227,134400.0,INLAND
-121.88,38.0,22.0,721.0,117.0,367.0,129.0,5.3098,151900.0,INLAND
-121.86,38.0,4.0,4075.0,927.0,2239.0,849.0,3.5857,165200.0,INLAND
-121.86,38.0,16.0,3216.0,464.0,1504.0,453.0,5.25,161700.0,INLAND
-121.89,37.99,4.0,2171.0,597.0,928.0,461.0,4.1016,170500.0,INLAND
-121.88,37.99,16.0,3787.0,515.0,1606.0,507.0,5.5676,174200.0,INLAND
-121.87,38.0,17.0,2713.0,442.0,1475.0,415.0,4.8542,144100.0,INLAND
-121.87,37.99,15.0,2203.0,312.0,1051.0,311.0,4.9783,163900.0,INLAND
-121.89,38.01,28.0,3639.0,751.0,2362.0,641.0,3.0042,103900.0,INLAND
-121.9,38.02,12.0,1497.0,360.0,943.0,341.0,2.1417,122200.0,INLAND
-121.9,38.01,16.0,2604.0,454.0,1696.0,481.0,4.6628,136000.0,INLAND
-121.92,38.02,8.0,2750.0,479.0,1526.0,484.0,5.102,156500.0,INLAND
-121.89,38.01,32.0,1000.0,188.0,663.0,212.0,4.0972,99200.0,INLAND
-121.9,38.01,34.0,3779.0,766.0,2356.0,722.0,3.5129,110600.0,INLAND
-121.9,38.0,14.0,1930.0,363.0,990.0,322.0,4.1094,162200.0,INLAND
-121.9,38.0,14.0,2677.0,368.0,1288.0,375.0,6.0497,177500.0,INLAND
-121.92,38.01,7.0,1632.0,248.0,879.0,262.0,6.1237,166000.0,INLAND
-121.93,38.01,9.0,2294.0,389.0,1142.0,365.0,5.3363,160800.0,INLAND
-121.93,38.02,13.0,1524.0,286.0,940.0,308.0,5.1337,154800.0,INLAND
-121.95,38.03,5.0,5526.0,,3207.0,1012.0,4.0767,143100.0,INLAND
-121.94,38.03,27.0,1654.0,478.0,1141.0,420.0,1.4871,87100.0,INLAND
-121.96,38.02,35.0,2691.0,542.0,1409.0,505.0,3.016,95300.0,INLAND
-121.95,38.02,9.0,3360.0,833.0,2041.0,810.0,2.1013,100700.0,INLAND
-121.94,38.02,29.0,5765.0,1170.0,3266.0,1131.0,2.7907,113900.0,INLAND
-121.92,38.03,16.0,2176.0,464.0,1410.0,434.0,3.5436,100200.0,INLAND
-121.92,38.02,16.0,1840.0,355.0,1288.0,338.0,4.2067,125000.0,INLAND
-121.91,38.02,15.0,2966.0,558.0,1687.0,527.0,3.4817,129800.0,INLAND
-121.97,38.04,38.0,2505.0,554.0,1595.0,498.0,2.5833,83500.0,INLAND
-121.97,38.03,17.0,3685.0,685.0,1939.0,649.0,3.7043,139800.0,INLAND
-121.98,38.05,31.0,2810.0,518.0,1640.0,503.0,3.3661,98500.0,INLAND
-122.02,38.02,44.0,1465.0,247.0,817.0,237.0,4.8693,156900.0,NEAR BAY
-122.0,38.03,4.0,2341.0,408.0,1235.0,431.0,6.0424,165900.0,INLAND
-122.14,38.02,44.0,1625.0,432.0,825.0,385.0,2.0523,133900.0,NEAR BAY
-122.14,38.03,42.0,118.0,34.0,54.0,30.0,2.5795,225000.0,NEAR BAY
-122.13,38.02,52.0,2378.0,508.0,940.0,451.0,2.9583,166000.0,NEAR BAY
-122.13,38.01,48.0,2123.0,494.0,859.0,474.0,1.8523,144800.0,NEAR BAY
-122.14,38.01,50.0,1760.0,341.0,741.0,316.0,4.5,178300.0,NEAR BAY
-122.13,38.01,51.0,1262.0,309.0,608.0,298.0,2.1974,139300.0,NEAR BAY
-122.13,38.0,33.0,2821.0,652.0,1206.0,640.0,2.5481,150800.0,NEAR BAY
-122.16,38.02,40.0,1800.0,290.0,761.0,277.0,5.1265,196100.0,NEAR BAY
-122.11,38.01,39.0,1313.0,306.0,575.0,231.0,3.1711,116100.0,NEAR BAY
-122.11,38.01,41.0,1345.0,272.0,718.0,283.0,3.3831,129400.0,NEAR BAY
-122.12,38.0,20.0,6992.0,1404.0,3221.0,1334.0,4.2042,166400.0,NEAR BAY
-122.12,38.01,50.0,1300.0,263.0,691.0,239.0,3.9519,126500.0,NEAR BAY
-122.12,38.01,50.0,1738.0,355.0,837.0,363.0,3.609,135700.0,NEAR BAY
-122.12,38.01,42.0,2225.0,367.0,864.0,381.0,4.1189,172400.0,NEAR BAY
-122.09,38.02,37.0,1742.0,339.0,1128.0,345.0,3.8824,113700.0,NEAR BAY
-122.1,38.02,28.0,4308.0,824.0,2086.0,776.0,3.6523,159700.0,NEAR BAY
-122.07,38.0,37.0,978.0,202.0,462.0,184.0,3.625,156300.0,NEAR BAY
-122.09,38.0,6.0,10191.0,1882.0,4377.0,1789.0,5.2015,204200.0,NEAR BAY
-122.11,38.0,9.0,3424.0,583.0,1460.0,543.0,5.76,212600.0,NEAR BAY
-122.08,37.99,19.0,4657.0,739.0,1914.0,732.0,5.0509,199900.0,NEAR BAY
-122.09,37.99,19.0,3073.0,506.0,1773.0,493.0,5.4496,205400.0,NEAR BAY
-122.11,37.99,16.0,3913.0,710.0,1782.0,676.0,5.1297,206700.0,NEAR BAY
-122.11,37.99,10.0,2864.0,514.0,1300.0,507.0,4.3875,287700.0,NEAR BAY
-122.08,37.97,9.0,2643.0,439.0,1105.0,467.0,6.6579,245200.0,NEAR BAY
-122.09,37.97,5.0,5303.0,779.0,2017.0,727.0,6.9961,294100.0,NEAR BAY
-122.11,37.98,11.0,4371.0,679.0,1790.0,660.0,6.135,297300.0,NEAR BAY
-122.09,37.98,14.0,5381.0,871.0,2296.0,872.0,5.6875,211000.0,NEAR BAY
-122.12,37.99,33.0,1660.0,277.0,741.0,261.0,4.675,225400.0,NEAR BAY
-122.1,37.97,18.0,4326.0,655.0,1753.0,646.0,5.6931,269600.0,NEAR BAY
-122.1,37.96,20.0,3796.0,650.0,1679.0,611.0,4.3571,228200.0,NEAR BAY
-122.1,37.96,25.0,1374.0,206.0,569.0,235.0,6.3699,235500.0,NEAR BAY
-122.07,37.99,28.0,3310.0,574.0,1811.0,597.0,4.5401,166900.0,NEAR BAY
-122.07,37.98,12.0,6915.0,1639.0,2940.0,1468.0,4.0154,186100.0,NEAR BAY
-122.07,37.97,20.0,1705.0,353.0,856.0,341.0,3.7262,211800.0,NEAR BAY
-122.07,37.96,34.0,1692.0,290.0,836.0,289.0,5.0172,197100.0,NEAR BAY
-122.06,37.96,37.0,1784.0,313.0,788.0,304.0,4.2917,189600.0,NEAR BAY
-122.08,37.96,21.0,9135.0,1534.0,3748.0,1502.0,6.0859,266000.0,NEAR BAY
-122.06,37.95,36.0,2213.0,386.0,950.0,370.0,4.7386,186400.0,NEAR BAY
-122.07,37.95,39.0,2199.0,388.0,1025.0,385.0,4.5893,190000.0,NEAR BAY
-122.08,37.95,24.0,3173.0,548.0,1351.0,536.0,5.0672,243000.0,NEAR BAY
-122.08,37.95,33.0,1043.0,157.0,425.0,148.0,4.8702,235600.0,NEAR BAY
-122.07,37.96,37.0,1217.0,199.0,552.0,194.0,5.0445,196200.0,NEAR BAY
-122.06,37.96,10.0,7136.0,1691.0,2959.0,1507.0,3.9816,182000.0,NEAR BAY
-122.05,37.95,34.0,1408.0,277.0,738.0,269.0,4.175,169400.0,NEAR BAY
-122.05,37.94,22.0,4162.0,1194.0,1804.0,1185.0,2.5459,179300.0,NEAR BAY
-122.06,37.94,19.0,4005.0,972.0,1896.0,893.0,2.5268,235700.0,NEAR BAY
-122.07,37.94,36.0,2639.0,488.0,1111.0,476.0,3.5057,205100.0,NEAR BAY
-122.07,37.94,30.0,1260.0,276.0,707.0,221.0,2.892,220800.0,NEAR BAY
-122.08,37.93,35.0,4043.0,689.0,1832.0,662.0,5.0761,233200.0,NEAR BAY
-122.08,37.94,44.0,2185.0,357.0,943.0,366.0,4.725,232100.0,NEAR BAY
-122.07,37.94,43.0,1454.0,234.0,683.0,258.0,4.475,265700.0,NEAR BAY
-122.09,37.95,32.0,1339.0,209.0,601.0,209.0,6.0265,247900.0,NEAR BAY
-122.09,37.94,29.0,6895.0,1022.0,2634.0,1022.0,6.1922,273200.0,NEAR BAY
-122.04,38.0,16.0,3077.0,733.0,1447.0,709.0,3.2484,91100.0,NEAR BAY
-122.04,37.99,32.0,1504.0,279.0,749.0,267.0,3.2,134500.0,NEAR BAY
-122.04,37.99,36.0,2765.0,495.0,1478.0,441.0,4.125,136200.0,NEAR BAY
-122.05,37.97,16.0,60.0,10.0,65.0,19.0,6.1359,250000.0,NEAR BAY
-122.06,37.99,16.0,2445.0,469.0,721.0,474.0,2.8043,87500.0,NEAR BAY
-122.06,37.99,17.0,1319.0,316.0,384.0,269.0,1.8229,137500.0,NEAR BAY
-122.05,38.0,36.0,2476.0,472.0,1213.0,393.0,3.7333,136400.0,NEAR BAY
-122.05,38.0,16.0,1085.0,217.0,356.0,232.0,2.3462,75000.0,NEAR BAY
-122.03,37.98,16.0,1209.0,477.0,627.0,482.0,1.3894,156300.0,NEAR BAY
-122.04,37.97,10.0,974.0,316.0,631.0,286.0,2.3152,140600.0,NEAR BAY
-122.03,38.0,25.0,3577.0,581.0,1753.0,593.0,5.7295,178300.0,NEAR BAY
-122.03,38.01,27.0,3228.0,562.0,1666.0,588.0,4.5707,175900.0,NEAR BAY
-122.04,37.99,38.0,2675.0,541.0,1378.0,480.0,3.8897,139900.0,NEAR BAY
-122.03,37.98,45.0,2842.0,567.0,1261.0,535.0,3.6042,138200.0,NEAR BAY
-122.02,38.0,28.0,2965.0,533.0,1591.0,472.0,4.6375,178200.0,NEAR BAY
-122.03,37.99,35.0,3103.0,537.0,1614.0,566.0,4.9022,169300.0,NEAR BAY
-122.02,37.99,37.0,2247.0,416.0,1237.0,397.0,4.45,161900.0,NEAR BAY
-122.03,37.99,37.0,1755.0,327.0,882.0,350.0,4.59,166600.0,NEAR BAY
-122.03,37.98,44.0,1254.0,252.0,498.0,217.0,3.4531,148900.0,NEAR BAY
-122.01,37.98,25.0,1476.0,336.0,777.0,297.0,3.5179,165500.0,NEAR BAY
-122.01,37.98,29.0,2001.0,373.0,956.0,370.0,4.317,194000.0,NEAR BAY
-122.0,37.98,32.0,1013.0,169.0,436.0,173.0,5.1118,226900.0,INLAND
-122.0,37.97,27.0,2491.0,428.0,1171.0,431.0,5.1021,202800.0,INLAND
-122.01,37.97,32.0,3012.0,527.0,1288.0,512.0,3.6449,211500.0,NEAR BAY
-122.02,37.98,40.0,1797.0,401.0,756.0,369.0,2.8456,165500.0,NEAR BAY
-122.02,37.98,37.0,1474.0,343.0,782.0,331.0,3.4187,161700.0,NEAR BAY
-122.0,37.99,28.0,4035.0,641.0,1881.0,659.0,5.4607,192300.0,INLAND
-122.0,37.98,31.0,2030.0,337.0,867.0,341.0,5.0915,193200.0,INLAND
-121.99,37.98,23.0,2293.0,411.0,969.0,399.0,4.4536,184000.0,INLAND
-121.99,37.97,28.0,2839.0,428.0,1372.0,443.0,6.2135,217200.0,INLAND
-122.0,37.98,35.0,1192.0,201.0,535.0,172.0,4.9219,182000.0,INLAND
-122.0,37.98,36.0,404.0,77.0,237.0,88.0,4.525,161300.0,INLAND
-122.01,37.98,34.0,1256.0,267.0,638.0,252.0,4.0507,161000.0,NEAR BAY
-122.01,37.99,28.0,1900.0,401.0,918.0,351.0,3.7841,144900.0,NEAR BAY
-121.95,37.96,18.0,2739.0,393.0,1072.0,374.0,6.1436,259500.0,INLAND
-121.97,37.97,27.0,1691.0,289.0,807.0,296.0,6.1168,210500.0,INLAND
-121.97,37.97,24.0,1330.0,183.0,656.0,205.0,5.0092,244100.0,INLAND
-121.97,37.96,28.0,1433.0,290.0,877.0,313.0,4.7891,184800.0,INLAND
-121.96,37.96,28.0,1838.0,273.0,899.0,270.0,5.2145,229200.0,INLAND
-121.96,37.95,7.0,3418.0,740.0,1583.0,676.0,3.6133,196100.0,INLAND
-121.98,37.96,22.0,2987.0,,1420.0,540.0,3.65,204100.0,INLAND
-121.97,37.97,26.0,1977.0,264.0,817.0,273.0,5.7512,240200.0,INLAND
-121.98,37.97,26.0,2714.0,390.0,1232.0,409.0,5.9617,231100.0,INLAND
-121.98,37.97,26.0,2738.0,428.0,1316.0,430.0,5.2442,213200.0,INLAND
-121.99,37.97,22.0,2823.0,509.0,1271.0,474.0,5.1333,207200.0,INLAND
-121.99,37.97,30.0,3320.0,589.0,1470.0,543.0,4.6071,184100.0,INLAND
-122.0,37.96,32.0,3364.0,666.0,1980.0,678.0,3.7,179000.0,INLAND
-122.0,37.96,28.0,4071.0,713.0,2033.0,647.0,4.5833,190700.0,INLAND
-121.96,37.95,13.0,3216.0,765.0,1627.0,715.0,3.0859,167800.0,INLAND
-121.97,37.95,8.0,4253.0,709.0,1883.0,662.0,5.431,246700.0,INLAND
-121.98,37.96,12.0,5048.0,1122.0,2209.0,1014.0,3.1573,126700.0,INLAND
-121.99,37.96,16.0,3324.0,479.0,1470.0,461.0,7.6166,260400.0,INLAND
-121.99,37.96,17.0,2756.0,423.0,1228.0,426.0,5.5872,200600.0,INLAND
-121.98,37.95,14.0,6290.0,854.0,2724.0,820.0,6.7371,267400.0,INLAND
-121.98,37.95,16.0,2984.0,406.0,1317.0,397.0,6.7821,265900.0,INLAND
-122.01,37.97,34.0,3259.0,498.0,1250.0,478.0,5.3794,206200.0,NEAR BAY
-122.02,37.97,36.0,2342.0,436.0,1191.0,416.0,4.0,171000.0,NEAR BAY
-122.03,37.97,45.0,1613.0,338.0,865.0,336.0,3.25,151100.0,NEAR BAY
-122.04,37.97,26.0,2470.0,626.0,1174.0,573.0,2.9861,160900.0,NEAR BAY
-122.03,37.97,20.0,3968.0,931.0,2629.0,903.0,2.9915,166700.0,NEAR BAY
-122.04,37.96,16.0,2913.0,723.0,1705.0,693.0,2.9097,106300.0,NEAR BAY
-122.04,37.97,21.0,6445.0,1839.0,3621.0,1735.0,2.5841,112500.0,NEAR BAY
-122.04,37.97,39.0,1323.0,245.0,705.0,261.0,3.1968,151000.0,NEAR BAY
-122.04,37.96,20.0,1143.0,346.0,578.0,298.0,2.2411,151800.0,NEAR BAY
-122.05,37.96,35.0,2190.0,384.0,1154.0,401.0,3.8456,159800.0,NEAR BAY
-122.04,37.96,28.0,1207.0,252.0,724.0,252.0,3.6964,165700.0,NEAR BAY
-122.04,37.96,27.0,2587.0,729.0,1500.0,623.0,1.837,175000.0,NEAR BAY
-122.05,37.95,27.0,3513.0,791.0,1875.0,694.0,3.1838,182000.0,NEAR BAY
-122.05,37.95,20.0,563.0,107.0,246.0,123.0,5.4482,190800.0,NEAR BAY
-122.01,37.95,8.0,3866.0,539.0,1555.0,513.0,6.0901,298200.0,NEAR BAY
-122.02,37.96,25.0,2615.0,368.0,935.0,366.0,6.6727,305100.0,NEAR BAY
-122.03,37.96,20.0,2636.0,691.0,1142.0,627.0,2.1083,162500.0,NEAR BAY
-122.03,37.95,14.0,3287.0,793.0,1601.0,716.0,3.1719,220500.0,NEAR BAY
-122.02,37.95,25.0,1205.0,260.0,608.0,272.0,2.4519,208300.0,NEAR BAY
-122.03,37.95,32.0,1955.0,313.0,804.0,317.0,4.9485,202300.0,NEAR BAY
-122.02,37.95,22.0,3526.0,510.0,1660.0,508.0,5.6642,237000.0,NEAR BAY
-122.02,37.94,23.0,3516.0,661.0,1465.0,623.0,4.2569,213100.0,NEAR BAY
-122.01,37.94,23.0,3741.0,,1339.0,499.0,6.7061,322300.0,NEAR BAY
-122.02,37.94,19.0,3192.0,612.0,1317.0,594.0,4.125,267100.0,NEAR BAY
-122.01,37.94,26.0,1619.0,224.0,706.0,220.0,6.0704,268000.0,NEAR BAY
-122.01,37.94,18.0,2077.0,298.0,937.0,292.0,6.3809,273600.0,NEAR BAY
-122.0,37.95,9.0,2214.0,256.0,848.0,239.0,6.8145,339200.0,INLAND
-122.01,37.93,25.0,2652.0,335.0,1062.0,334.0,7.5898,330200.0,NEAR BAY
-122.04,37.95,33.0,1653.0,334.0,814.0,328.0,3.1406,163100.0,NEAR BAY
-122.04,37.94,24.0,5732.0,873.0,2444.0,888.0,5.6292,231400.0,NEAR BAY
-122.05,37.94,22.0,2105.0,354.0,993.0,365.0,4.6602,227800.0,NEAR BAY
-122.04,37.95,29.0,866.0,138.0,341.0,133.0,4.7188,197100.0,NEAR BAY
-122.05,37.95,22.0,5175.0,1213.0,2804.0,1091.0,2.85,144600.0,NEAR BAY
-122.03,37.94,21.0,5541.0,776.0,2214.0,737.0,5.5777,279300.0,NEAR BAY
-122.03,37.93,21.0,4712.0,624.0,1773.0,615.0,6.0918,344800.0,NEAR BAY
-122.05,37.93,5.0,4274.0,1153.0,1503.0,881.0,4.0473,266500.0,NEAR BAY
-122.05,37.93,15.0,7803.0,1603.0,2957.0,1546.0,4.45,184900.0,NEAR BAY
-122.05,37.92,14.0,12713.0,2558.0,4741.0,2412.0,4.7094,234700.0,NEAR BAY
-122.02,37.92,26.0,5077.0,640.0,1872.0,636.0,7.4713,351200.0,NEAR BAY
-122.03,37.92,23.0,3318.0,408.0,1124.0,393.0,6.5847,358800.0,NEAR BAY
-122.01,37.91,21.0,10093.0,1269.0,3645.0,1219.0,7.6877,367700.0,NEAR BAY
-122.03,37.91,29.0,5438.0,871.0,2310.0,890.0,5.0362,275300.0,NEAR BAY
-122.06,37.91,15.0,5393.0,1422.0,2133.0,1288.0,4.1612,232800.0,NEAR BAY
-122.06,37.9,25.0,5869.0,1685.0,2669.0,1554.0,2.6998,216100.0,NEAR BAY
-122.06,37.89,21.0,4985.0,1590.0,2575.0,1458.0,3.1002,114300.0,NEAR BAY
-122.07,37.93,45.0,1544.0,244.0,614.0,238.0,5.0255,226000.0,NEAR BAY
-122.07,37.93,25.0,7201.0,1521.0,3264.0,1433.0,3.7433,252100.0,NEAR BAY
-122.07,37.92,26.0,3872.0,739.0,1629.0,684.0,4.4312,225000.0,NEAR BAY
-122.08,37.92,28.0,2377.0,469.0,1068.0,435.0,4.4561,250000.0,NEAR BAY
-122.08,37.92,26.0,1733.0,265.0,796.0,274.0,6.195,264900.0,NEAR BAY
-122.07,37.91,28.0,1731.0,295.0,810.0,295.0,5.0391,259800.0,NEAR BAY
-122.07,37.91,33.0,1550.0,277.0,638.0,254.0,3.6833,292500.0,NEAR BAY
-122.08,37.9,32.0,1075.0,170.0,486.0,173.0,5.0499,306800.0,NEAR BAY
-122.09,37.91,18.0,9576.0,1455.0,3486.0,1380.0,7.0895,306900.0,NEAR BAY
-122.07,37.89,28.0,3410.0,746.0,1428.0,670.0,4.3864,266800.0,NEAR BAY
-122.08,37.89,39.0,3018.0,501.0,1223.0,489.0,6.2924,283900.0,NEAR BAY
-122.08,37.9,29.0,4133.0,770.0,1691.0,744.0,5.1097,288000.0,NEAR BAY
-122.07,37.89,38.0,2139.0,343.0,809.0,340.0,5.5636,268800.0,NEAR BAY
-122.07,37.89,38.0,757.0,124.0,319.0,123.0,5.6558,263300.0,NEAR BAY
-122.06,37.88,34.0,4781.0,703.0,1879.0,714.0,6.5378,340900.0,NEAR BAY
-122.05,37.87,30.0,2296.0,329.0,847.0,322.0,6.7192,397500.0,NEAR BAY
-122.05,37.9,24.0,4125.0,1020.0,1699.0,873.0,2.9526,271000.0,NEAR BAY
-122.05,37.9,32.0,2676.0,484.0,986.0,473.0,4.6528,335700.0,NEAR BAY
-122.05,37.89,37.0,1677.0,269.0,689.0,283.0,4.2625,310600.0,NEAR BAY
-122.04,37.89,33.0,2423.0,322.0,998.0,346.0,7.5349,349100.0,NEAR BAY
-122.05,37.9,32.0,4498.0,862.0,1818.0,851.0,4.8088,321200.0,NEAR BAY
-122.04,37.9,20.0,5467.0,1044.0,2310.0,963.0,5.6986,275800.0,NEAR BAY
-122.02,37.89,29.0,6349.0,858.0,2450.0,778.0,7.5,356200.0,NEAR BAY
-122.04,37.88,32.0,3250.0,550.0,1230.0,557.0,4.6424,312700.0,NEAR BAY
-122.03,37.86,29.0,3025.0,477.0,1035.0,452.0,6.112,390600.0,NEAR BAY
-122.04,37.85,27.0,6039.0,780.0,2181.0,761.0,9.5862,469400.0,NEAR BAY
-121.94,37.73,22.0,1980.0,291.0,861.0,290.0,6.2726,258200.0,<1H OCEAN
-121.94,37.73,22.0,6719.0,1068.0,2843.0,994.0,6.1265,260300.0,<1H OCEAN
-121.93,37.73,23.0,2564.0,347.0,1043.0,351.0,6.2048,275000.0,<1H OCEAN
-121.93,37.73,8.0,831.0,231.0,404.0,224.0,3.375,350000.0,<1H OCEAN
-121.95,37.74,19.0,1127.0,170.0,518.0,167.0,6.3325,250000.0,<1H OCEAN
-121.95,37.74,19.0,5721.0,837.0,2653.0,813.0,6.2631,266000.0,<1H OCEAN
-121.94,37.75,17.0,2559.0,370.0,1238.0,377.0,6.2781,269800.0,<1H OCEAN
-121.92,37.73,24.0,1407.0,327.0,501.0,295.0,2.4821,157200.0,<1H OCEAN
-121.93,37.74,16.0,3326.0,419.0,1272.0,402.0,6.8806,343500.0,<1H OCEAN
-121.94,37.75,16.0,5121.0,735.0,2464.0,761.0,6.6204,296100.0,<1H OCEAN
-121.97,37.79,17.0,5688.0,824.0,2111.0,773.0,6.6131,312500.0,<1H OCEAN
-121.98,37.8,17.0,3354.0,422.0,1457.0,425.0,7.6473,345800.0,<1H OCEAN
-121.98,37.8,16.0,2498.0,330.0,1027.0,343.0,8.155,343700.0,<1H OCEAN
-121.98,37.81,18.0,2903.0,387.0,1127.0,372.0,5.5921,359100.0,<1H OCEAN
-121.96,37.81,12.0,6488.0,778.0,2404.0,765.0,8.3188,403400.0,<1H OCEAN
-121.97,37.8,17.0,3279.0,418.0,1222.0,381.0,7.9168,356000.0,<1H OCEAN
-121.94,37.8,8.0,11336.0,1657.0,4089.0,1555.0,7.8287,369200.0,<1H OCEAN
-121.97,37.79,16.0,3873.0,484.0,1451.0,501.0,6.7857,341300.0,<1H OCEAN
-121.95,37.78,4.0,14652.0,2826.0,5613.0,2579.0,6.3942,356700.0,<1H OCEAN
-121.96,37.76,8.0,3865.0,463.0,1548.0,432.0,9.7037,425100.0,<1H OCEAN
-121.94,37.76,4.0,6875.0,1439.0,2889.0,1307.0,4.6932,356100.0,<1H OCEAN
-121.93,37.76,5.0,2255.0,269.0,876.0,258.0,10.3345,461400.0,<1H OCEAN
-121.92,37.74,8.0,452.0,51.0,140.0,43.0,12.5915,432400.0,<1H OCEAN
-121.93,37.78,2.0,227.0,35.0,114.0,49.0,3.1591,434700.0,<1H OCEAN
-121.96,37.74,2.0,200.0,20.0,25.0,9.0,15.0001,350000.0,<1H OCEAN
-121.97,37.76,8.0,3743.0,581.0,1633.0,567.0,6.7027,381900.0,<1H OCEAN
-121.97,37.77,13.0,7241.0,1007.0,3221.0,947.0,7.2216,324600.0,<1H OCEAN
-121.98,37.74,8.0,2865.0,389.0,1376.0,417.0,7.9393,399300.0,<1H OCEAN
-122.02,37.84,34.0,1879.0,265.0,729.0,263.0,7.7072,443800.0,NEAR BAY
-122.01,37.83,30.0,3917.0,549.0,1330.0,544.0,6.5617,386600.0,NEAR BAY
-122.0,37.82,20.0,2206.0,458.0,926.0,432.0,4.6042,256400.0,<1H OCEAN
-121.99,37.82,22.0,1248.0,271.0,579.0,269.0,3.375,200000.0,<1H OCEAN
-122.03,37.83,24.0,5948.0,738.0,1997.0,710.0,9.8708,500001.0,NEAR BAY
-121.99,37.77,14.0,8213.0,1364.0,3283.0,1286.0,5.1755,294800.0,<1H OCEAN
-121.99,37.81,17.0,465.0,83.0,146.0,75.0,4.9018,188500.0,<1H OCEAN
-122.02,37.8,11.0,6200.0,907.0,2286.0,896.0,7.6518,359300.0,NEAR BAY
-122.03,37.87,21.0,3521.0,447.0,1396.0,467.0,8.2673,358700.0,NEAR BAY
-122.02,37.88,16.0,3031.0,438.0,1087.0,421.0,7.3732,287300.0,NEAR BAY
-122.02,37.87,14.0,3056.0,369.0,1209.0,377.0,8.4352,441400.0,NEAR BAY
-122.03,37.86,25.0,3004.0,393.0,1145.0,376.0,7.2655,494000.0,NEAR BAY
-122.0,37.86,18.0,8953.0,1074.0,3011.0,993.0,10.7372,500001.0,<1H OCEAN
-121.97,37.87,4.0,1029.0,126.0,416.0,122.0,13.4883,500001.0,INLAND
-121.96,37.84,29.0,7479.0,977.0,2744.0,943.0,7.5139,398200.0,INLAND
-122.0,37.84,16.0,7681.0,946.0,2777.0,908.0,9.5271,500001.0,<1H OCEAN
-121.96,37.85,10.0,3209.0,379.0,1199.0,392.0,12.2478,500001.0,INLAND
-121.99,37.83,16.0,2939.0,380.0,1177.0,396.0,8.0839,372000.0,<1H OCEAN
-121.98,37.82,18.0,9117.0,1248.0,3280.0,1167.0,8.003,351300.0,<1H OCEAN
-121.95,37.81,5.0,7178.0,898.0,2823.0,907.0,9.0776,450400.0,<1H OCEAN
-122.1,37.93,20.0,10212.0,1424.0,4083.0,1374.0,8.039,382200.0,NEAR BAY
-122.12,37.94,22.0,4949.0,626.0,1850.0,590.0,10.4549,500001.0,NEAR BAY
-122.1,37.9,38.0,827.0,144.0,368.0,136.0,6.5095,294400.0,NEAR BAY
-122.14,37.9,32.0,5738.0,746.0,2099.0,732.0,10.3224,500001.0,NEAR BAY
-122.12,37.91,34.0,5683.0,755.0,1962.0,723.0,8.3678,455300.0,NEAR BAY
-122.09,37.89,35.0,880.0,139.0,352.0,132.0,6.8686,406500.0,NEAR BAY
-122.1,37.89,21.0,3282.0,653.0,1398.0,601.0,5.2079,310300.0,NEAR BAY
-122.11,37.89,32.0,2372.0,516.0,1067.0,492.0,4.3235,279500.0,NEAR BAY
-122.11,37.88,37.0,4005.0,614.0,1602.0,606.0,6.4666,348200.0,NEAR BAY
-122.12,37.88,35.0,2785.0,362.0,1001.0,363.0,8.0448,433300.0,NEAR BAY
-122.12,37.89,30.0,3227.0,733.0,1260.0,684.0,4.125,257100.0,NEAR BAY
-122.13,37.89,27.0,744.0,214.0,295.0,169.0,2.7411,350000.0,NEAR BAY
-122.13,37.87,18.0,1820.0,220.0,728.0,229.0,10.3713,426100.0,NEAR BAY
-122.14,37.88,34.0,6986.0,1096.0,2865.0,1124.0,6.2275,394400.0,NEAR BAY
-122.07,37.88,11.0,1077.0,318.0,590.0,264.0,3.5536,387200.0,NEAR BAY
-122.08,37.88,24.0,2059.0,462.0,410.0,294.0,2.3971,99400.0,NEAR BAY
-122.08,37.88,26.0,2947.0,,825.0,626.0,2.933,85000.0,NEAR BAY
-122.08,37.87,24.0,6130.0,1359.0,1750.0,1286.0,2.9167,102700.0,NEAR BAY
-122.06,37.85,17.0,7475.0,1556.0,2092.0,1449.0,3.6437,186500.0,NEAR BAY
-122.07,37.86,23.0,1025.0,205.0,263.0,191.0,3.12,155000.0,NEAR BAY
-122.06,37.86,16.0,5187.0,1014.0,1512.0,986.0,4.4551,252400.0,NEAR BAY
-122.07,37.86,17.0,1102.0,224.0,317.0,208.0,3.5893,206300.0,NEAR BAY
-122.08,37.87,26.0,2405.0,564.0,680.0,531.0,2.4896,73400.0,NEAR BAY
-122.1,37.88,35.0,3701.0,528.0,1511.0,517.0,7.2315,367100.0,NEAR BAY
-122.09,37.86,27.0,5484.0,760.0,2212.0,770.0,7.6202,402600.0,NEAR BAY
-122.11,37.87,33.0,3398.0,500.0,1351.0,457.0,6.5814,314200.0,NEAR BAY
-122.12,37.85,18.0,5252.0,686.0,1870.0,657.0,8.0074,454100.0,NEAR BAY
-122.08,37.84,17.0,1320.0,159.0,1722.0,141.0,11.7064,500001.0,NEAR BAY
-122.12,37.81,26.0,4048.0,513.0,1486.0,498.0,7.6717,416500.0,NEAR BAY
-122.12,37.82,26.0,2269.0,317.0,918.0,313.0,6.6657,364500.0,NEAR BAY
-122.11,37.83,19.0,5130.0,741.0,1887.0,712.0,7.203,369900.0,NEAR BAY
-122.08,37.82,4.0,2045.0,237.0,830.0,252.0,11.3421,500001.0,NEAR BAY
-122.14,37.86,20.0,6201.0,1182.0,2415.0,1141.0,4.5744,314000.0,NEAR BAY
-122.14,37.85,27.0,9147.0,1276.0,3371.0,1269.0,7.3267,389900.0,NEAR BAY
-122.14,37.84,24.0,2131.0,343.0,874.0,373.0,5.6349,355600.0,NEAR BAY
-122.16,37.83,16.0,4596.0,705.0,1480.0,650.0,7.52,370200.0,NEAR BAY
-122.16,37.86,36.0,3359.0,493.0,1298.0,483.0,8.1586,404300.0,NEAR BAY
-122.18,37.88,36.0,542.0,119.0,231.0,121.0,4.9,354200.0,NEAR BAY
-122.18,37.86,33.0,4449.0,636.0,1684.0,617.0,8.9571,399700.0,NEAR BAY
-122.16,37.89,32.0,1779.0,241.0,721.0,258.0,8.7589,434500.0,NEAR BAY
-122.17,37.88,32.0,3633.0,508.0,1393.0,506.0,7.6917,401800.0,NEAR BAY
-122.17,37.88,33.0,3626.0,502.0,1348.0,480.0,7.6107,423200.0,NEAR BAY
-122.17,37.87,38.0,1261.0,177.0,472.0,183.0,6.917,438000.0,NEAR BAY
-122.22,37.88,20.0,95.0,13.0,31.0,15.0,2.4444,475000.0,NEAR BAY
-122.2,37.89,37.0,3881.0,560.0,1315.0,517.0,7.3195,367500.0,NEAR BAY
-122.2,37.88,36.0,1065.0,160.0,398.0,155.0,7.7736,378100.0,NEAR BAY
-122.18,37.91,31.0,7200.0,876.0,2428.0,843.0,10.9405,500001.0,NEAR BAY
-122.2,37.9,36.0,2107.0,287.0,740.0,280.0,10.3416,500001.0,NEAR BAY
-122.18,37.9,36.0,4760.0,610.0,1511.0,572.0,9.0064,500001.0,NEAR BAY
-122.18,37.89,18.0,4845.0,735.0,1634.0,734.0,8.1489,499000.0,NEAR BAY
-121.84,37.98,8.0,7505.0,1089.0,3325.0,1016.0,5.2699,204200.0,INLAND
-121.81,37.97,8.0,1584.0,236.0,615.0,202.0,6.4753,166800.0,INLAND
-121.78,37.97,4.0,17032.0,2546.0,7653.0,2359.0,5.5601,213700.0,INLAND
-121.83,37.95,17.0,1133.0,244.0,716.0,235.0,2.875,162500.0,INLAND
-121.94,37.83,11.0,2836.0,373.0,959.0,335.0,10.5815,500001.0,INLAND
-121.89,37.82,4.0,11444.0,1355.0,3898.0,1257.0,13.2949,500001.0,INLAND
-121.91,37.81,7.0,3477.0,416.0,1216.0,395.0,13.1499,500001.0,INLAND
-121.82,37.81,12.0,4711.0,659.0,2089.0,621.0,8.3209,485400.0,INLAND
-121.96,37.99,2.0,3129.0,707.0,1606.0,698.0,2.9591,210100.0,INLAND
-121.96,37.94,26.0,3084.0,505.0,1557.0,501.0,5.1582,194700.0,INLAND
-121.96,37.95,25.0,4026.0,791.0,1850.0,709.0,4.1483,181200.0,INLAND
-121.95,37.94,21.0,3153.0,411.0,1318.0,431.0,6.8642,285400.0,INLAND
-121.97,37.93,4.0,3241.0,464.0,1552.0,494.0,6.6134,307000.0,INLAND
-122.01,37.92,18.0,2808.0,337.0,1038.0,337.0,8.3956,353600.0,NEAR BAY
-122.01,37.92,16.0,2638.0,345.0,1055.0,334.0,8.1163,365800.0,NEAR BAY
-121.99,37.92,14.0,1780.0,224.0,764.0,226.0,9.0243,427700.0,INLAND
-121.93,37.89,13.0,2085.0,292.0,852.0,264.0,7.3445,366700.0,INLAND
-121.92,37.96,14.0,5332.0,884.0,2093.0,839.0,5.2798,237400.0,INLAND
-121.94,37.95,18.0,2541.0,355.0,986.0,346.0,7.1978,288000.0,INLAND
-121.91,37.93,13.0,1610.0,198.0,703.0,217.0,8.7059,329400.0,INLAND
-121.94,37.94,26.0,1299.0,174.0,533.0,180.0,6.2296,291700.0,INLAND
-121.94,37.93,16.0,3421.0,427.0,1341.0,428.0,7.5695,320400.0,INLAND
-121.93,37.93,16.0,2876.0,391.0,1089.0,377.0,6.299,286900.0,INLAND
-121.93,37.93,16.0,2169.0,262.0,877.0,245.0,6.6049,312600.0,INLAND
-121.95,37.94,27.0,1469.0,216.0,578.0,219.0,5.9346,253600.0,INLAND
-122.25,38.02,16.0,1803.0,267.0,946.0,266.0,5.7001,205100.0,NEAR BAY
-122.25,38.03,15.0,3338.0,532.0,1834.0,520.0,5.6293,197600.0,NEAR BAY
-122.21,38.02,15.0,2150.0,327.0,1094.0,324.0,6.0224,198500.0,NEAR BAY
-122.2,37.96,9.0,6306.0,962.0,2581.0,911.0,6.7741,310700.0,NEAR BAY
-122.23,38.06,52.0,1350.0,266.0,490.0,257.0,3.125,171100.0,NEAR BAY
-122.23,38.05,52.0,1736.0,358.0,638.0,297.0,2.5517,147100.0,NEAR BAY
-122.21,38.06,52.0,2735.0,559.0,1076.0,487.0,3.6154,155700.0,NEAR BAY
-122.2,38.04,31.0,3029.0,500.0,1236.0,487.0,5.6022,197000.0,NEAR BAY
-122.26,38.03,25.0,2239.0,361.0,928.0,353.0,4.4474,203700.0,NEAR BAY
-122.27,38.04,47.0,1685.0,405.0,835.0,372.0,2.3103,134500.0,NEAR BAY
-122.26,38.03,41.0,1631.0,282.0,752.0,288.0,3.9345,150200.0,NEAR BAY
-122.26,38.04,41.0,2512.0,539.0,1179.0,480.0,2.694,123000.0,NEAR BAY
-122.25,38.05,30.0,1255.0,297.0,779.0,307.0,1.6767,147700.0,NEAR BAY
-122.32,38.06,4.0,7999.0,1611.0,3596.0,1396.0,5.0969,174200.0,NEAR BAY
-122.28,38.0,26.0,2335.0,413.0,980.0,417.0,3.4471,178900.0,NEAR BAY
-122.29,38.0,16.0,4986.0,1081.0,2805.0,1016.0,4.025,173200.0,NEAR BAY
-122.36,38.03,32.0,2159.0,393.0,981.0,369.0,4.3173,175400.0,NEAR BAY
-122.3,38.0,34.0,1712.0,317.0,956.0,341.0,4.4394,162000.0,NEAR BAY
-122.31,38.0,26.0,3735.0,641.0,1708.0,633.0,4.621,191100.0,NEAR BAY
-122.31,38.01,18.0,4123.0,874.0,1895.0,772.0,3.2759,195000.0,NEAR BAY
-122.28,37.99,28.0,3801.0,622.0,1654.0,571.0,4.375,193300.0,NEAR BAY
-122.26,37.98,28.0,2038.0,329.0,947.0,349.0,5.1178,198000.0,NEAR BAY
-122.27,37.99,16.0,4921.0,737.0,2312.0,725.0,5.8899,243200.0,NEAR BAY
-122.27,37.98,23.0,3455.0,479.0,1375.0,474.0,6.0289,218600.0,NEAR BAY
-122.26,38.02,5.0,3846.0,786.0,2053.0,716.0,5.0473,184800.0,NEAR BAY
-122.24,38.01,11.0,3751.0,565.0,1949.0,555.0,5.7862,269400.0,NEAR BAY
-122.24,38.01,16.0,2084.0,315.0,1154.0,307.0,6.0102,235600.0,NEAR BAY
-122.25,38.0,16.0,2978.0,411.0,1531.0,400.0,6.5006,237700.0,NEAR BAY
-122.26,38.0,14.0,2338.0,391.0,1003.0,398.0,4.2269,170500.0,NEAR BAY
-122.26,38.0,6.0,678.0,104.0,318.0,91.0,5.2375,246400.0,NEAR BAY
-122.27,38.0,15.0,1216.0,166.0,572.0,178.0,5.8418,240300.0,NEAR BAY
-122.27,38.0,12.0,1592.0,242.0,969.0,233.0,6.1576,248700.0,NEAR BAY
-122.26,38.0,5.0,6265.0,908.0,3326.0,872.0,6.2073,272900.0,NEAR BAY
-122.29,37.98,27.0,2133.0,347.0,850.0,350.0,5.1046,209800.0,NEAR BAY
-122.28,37.96,35.0,1579.0,243.0,734.0,264.0,5.5,201000.0,NEAR BAY
-122.27,37.97,10.0,15259.0,2275.0,7266.0,2338.0,6.0666,272400.0,NEAR BAY
-122.3,37.97,30.0,4030.0,772.0,1777.0,718.0,3.6393,184000.0,NEAR BAY
-122.3,37.97,34.0,2854.0,528.0,1211.0,452.0,3.5353,164700.0,NEAR BAY
-122.29,37.97,20.0,3426.0,632.0,1512.0,580.0,4.4911,227400.0,NEAR BAY
-122.3,37.97,35.0,1811.0,377.0,911.0,340.0,3.375,149700.0,NEAR BAY
-122.29,37.94,20.0,7578.0,1426.0,3637.0,1362.0,4.4387,190000.0,NEAR BAY
-122.32,37.95,37.0,1887.0,353.0,895.0,359.0,4.45,196600.0,NEAR BAY
-122.31,37.94,38.0,1794.0,349.0,810.0,335.0,3.8343,191400.0,NEAR BAY
-122.31,37.94,38.0,2172.0,403.0,945.0,384.0,4.3958,194200.0,NEAR BAY
-122.32,37.95,36.0,1425.0,245.0,573.0,239.0,4.35,185000.0,NEAR BAY
-122.31,37.99,25.0,6508.0,1137.0,3259.0,1081.0,4.2348,157800.0,NEAR BAY
-122.3,37.98,25.0,3807.0,806.0,1821.0,792.0,3.6518,164300.0,NEAR BAY
-122.32,37.97,29.0,2347.0,464.0,1135.0,490.0,3.9722,161000.0,NEAR BAY
-122.32,38.01,26.0,3054.0,492.0,1495.0,496.0,4.6944,171100.0,NEAR BAY
-122.33,38.0,35.0,3779.0,711.0,2493.0,679.0,2.9781,109000.0,NEAR BAY
-122.31,38.0,29.0,3108.0,534.0,1687.0,516.0,4.3333,170800.0,NEAR BAY
-122.32,37.99,24.0,4865.0,968.0,2315.0,893.0,4.2852,173500.0,NEAR BAY
-122.32,38.0,32.0,2275.0,397.0,1233.0,418.0,4.0437,162800.0,NEAR BAY
-122.34,37.99,42.0,1531.0,326.0,1271.0,377.0,2.6167,85100.0,NEAR BAY
-122.33,37.98,3.0,2850.0,544.0,1024.0,515.0,6.0115,175000.0,NEAR BAY
-122.33,37.99,4.0,3999.0,1079.0,1591.0,887.0,3.911,112500.0,NEAR BAY
-122.39,38.0,33.0,44.0,6.0,23.0,11.0,4.125,212500.0,NEAR BAY
-122.36,37.96,39.0,246.0,57.0,316.0,52.0,0.716,104200.0,NEAR BAY
-122.36,37.96,31.0,1157.0,276.0,956.0,232.0,1.5347,80400.0,NEAR BAY
-122.36,37.95,40.0,408.0,102.0,302.0,81.0,1.8333,69800.0,NEAR BAY
-122.37,37.95,35.0,215.0,45.0,100.0,34.0,1.6023,81300.0,NEAR BAY
-122.37,37.95,32.0,1298.0,363.0,716.0,268.0,0.9797,76400.0,NEAR BAY
-122.37,37.96,37.0,1572.0,402.0,1046.0,350.0,0.7403,68600.0,NEAR BAY
-122.41,37.98,36.0,60.0,15.0,42.0,25.0,1.4583,67500.0,NEAR BAY
-122.34,37.98,33.0,2014.0,410.0,1354.0,427.0,3.9773,131300.0,NEAR BAY
-122.35,37.98,34.0,3756.0,726.0,2237.0,686.0,3.7562,132900.0,NEAR BAY
-122.34,37.97,19.0,392.0,109.0,287.0,81.0,6.0426,110000.0,NEAR BAY
-122.35,37.96,32.0,1991.0,504.0,1139.0,423.0,2.0353,113600.0,NEAR BAY
-122.35,37.97,43.0,2178.0,482.0,1545.0,471.0,2.5863,112200.0,NEAR BAY
-122.35,37.97,31.0,2892.0,685.0,2104.0,641.0,3.2188,113800.0,NEAR BAY
-122.32,37.97,33.0,1595.0,292.0,991.0,300.0,4.6937,134100.0,NEAR BAY
-122.32,37.97,33.0,1156.0,190.0,643.0,209.0,4.5,156600.0,NEAR BAY
-122.33,37.97,19.0,5151.0,1335.0,2548.0,1165.0,3.3125,158800.0,NEAR BAY
-122.33,37.98,32.0,1967.0,348.0,1144.0,364.0,4.4135,150100.0,NEAR BAY
-122.33,37.97,45.0,1982.0,376.0,1179.0,398.0,3.5463,130800.0,NEAR BAY
-122.34,37.97,19.0,2237.0,580.0,1438.0,551.0,2.3382,120700.0,NEAR BAY
-122.33,37.96,46.0,1222.0,236.0,819.0,251.0,3.9118,129400.0,NEAR BAY
-122.35,37.96,36.0,2191.0,531.0,1563.0,524.0,2.5164,114200.0,NEAR BAY
-122.35,37.96,29.0,1899.0,524.0,1357.0,443.0,1.875,97200.0,NEAR BAY
-122.35,37.96,35.0,1326.0,346.0,1023.0,295.0,2.0724,97700.0,NEAR BAY
-122.35,37.95,31.0,2449.0,595.0,1801.0,548.0,2.6328,110300.0,NEAR BAY
-122.35,37.96,34.0,1428.0,335.0,1272.0,319.0,2.5461,93900.0,NEAR BAY
-122.36,37.96,30.0,950.0,317.0,1073.0,280.0,1.8664,107800.0,NEAR BAY
-122.32,37.96,25.0,1728.0,403.0,934.0,412.0,3.375,133700.0,NEAR BAY
-122.32,37.96,34.0,2070.0,357.0,784.0,294.0,4.0417,182800.0,NEAR BAY
-122.32,37.95,35.0,1612.0,354.0,887.0,331.0,2.5769,146100.0,NEAR BAY
-122.33,37.95,22.0,2099.0,569.0,1135.0,509.0,2.1915,120800.0,NEAR BAY
-122.34,37.96,15.0,6487.0,1717.0,3408.0,1560.0,2.1991,133300.0,NEAR BAY
-122.34,37.96,33.0,1817.0,441.0,1220.0,389.0,2.5382,103600.0,NEAR BAY
-122.32,37.94,38.0,2751.0,522.0,1390.0,489.0,3.7277,165100.0,NEAR BAY
-122.32,37.94,46.0,1901.0,295.0,833.0,352.0,5.5196,210800.0,NEAR BAY
-122.32,37.93,40.0,1141.0,213.0,434.0,196.0,3.9464,186900.0,NEAR BAY
-122.33,37.95,42.0,1627.0,336.0,848.0,316.0,3.7708,144600.0,NEAR BAY
-122.33,37.94,45.0,1226.0,279.0,590.0,260.0,2.8833,140400.0,NEAR BAY
-122.33,37.94,47.0,1882.0,361.0,797.0,342.0,3.5848,140800.0,NEAR BAY
-122.33,37.94,43.0,1876.0,389.0,807.0,377.0,3.1571,141600.0,NEAR BAY
-122.33,37.94,42.0,1695.0,345.0,719.0,334.0,3.9417,139100.0,NEAR BAY
-122.33,37.94,44.0,1769.0,332.0,828.0,309.0,4.0526,150800.0,NEAR BAY
-122.34,37.95,45.0,1128.0,240.0,702.0,270.0,3.6719,134100.0,NEAR BAY
-122.33,37.95,45.0,1585.0,329.0,981.0,373.0,3.0313,135800.0,NEAR BAY
-122.33,37.95,46.0,1543.0,339.0,777.0,322.0,4.0927,142600.0,NEAR BAY
-122.34,37.95,44.0,1675.0,317.0,806.0,311.0,3.0694,135300.0,NEAR BAY
-122.34,37.95,44.0,1788.0,368.0,933.0,329.0,2.875,133400.0,NEAR BAY
-122.34,37.95,39.0,1986.0,427.0,1041.0,385.0,3.2333,135100.0,NEAR BAY
-122.34,37.95,38.0,1340.0,298.0,766.0,241.0,3.2833,111700.0,NEAR BAY
-122.35,37.95,45.0,2142.0,431.0,1318.0,431.0,3.0737,111600.0,NEAR BAY
-122.35,37.95,42.0,1485.0,290.0,971.0,303.0,3.6094,114600.0,NEAR BAY
-122.36,37.95,38.0,1042.0,289.0,773.0,248.0,2.7714,104700.0,NEAR BAY
-122.34,37.94,47.0,2313.0,433.0,947.0,430.0,3.942,143300.0,NEAR BAY
-122.34,37.94,44.0,1917.0,444.0,936.0,435.0,2.7391,140300.0,NEAR BAY
-122.34,37.94,31.0,1611.0,455.0,786.0,411.0,1.681,145500.0,NEAR BAY
-122.34,37.94,42.0,2206.0,451.0,989.0,444.0,3.125,143900.0,NEAR BAY
-122.35,37.94,45.0,2112.0,493.0,1406.0,452.0,2.3456,105200.0,NEAR BAY
-122.35,37.94,34.0,1880.0,459.0,1358.0,422.0,1.6571,105200.0,NEAR BAY
-122.35,37.94,47.0,1275.0,275.0,844.0,273.0,2.8967,95600.0,NEAR BAY
-122.36,37.95,38.0,1066.0,248.0,729.0,286.0,1.5139,81700.0,NEAR BAY
-122.36,37.94,45.0,907.0,188.0,479.0,161.0,3.0862,79000.0,NEAR BAY
-122.36,37.94,27.0,844.0,249.0,583.0,265.0,0.9687,105800.0,NEAR BAY
-122.36,37.94,26.0,1540.0,343.0,1007.0,338.0,1.3365,72900.0,NEAR BAY
-122.36,37.94,41.0,2591.0,585.0,1638.0,462.0,1.822,79700.0,NEAR BAY
-122.37,37.94,49.0,969.0,229.0,599.0,195.0,1.3167,71600.0,NEAR BAY
-122.35,37.93,19.0,1334.0,366.0,1048.0,316.0,1.7865,88000.0,NEAR BAY
-122.35,37.93,28.0,1995.0,488.0,1182.0,439.0,2.3352,84300.0,NEAR BAY
-122.36,37.94,43.0,369.0,107.0,371.0,111.0,1.6,79400.0,NEAR BAY
-122.36,37.93,17.0,1258.0,254.0,885.0,229.0,3.05,121600.0,NEAR BAY
-122.37,37.94,40.0,1064.0,266.0,912.0,239.0,1.0521,69100.0,NEAR BAY
-122.37,37.93,45.0,3150.0,756.0,1798.0,749.0,1.75,37900.0,NEAR BAY
-122.38,37.91,18.0,3507.0,711.0,1224.0,676.0,5.0524,269800.0,NEAR BAY
-122.42,37.93,47.0,3453.0,779.0,1353.0,728.0,4.016,274500.0,NEAR BAY
-122.41,37.94,52.0,154.0,33.0,89.0,38.0,3.2875,275000.0,NEAR BAY
-122.34,37.93,30.0,2515.0,481.0,1327.0,428.0,2.1287,95000.0,NEAR BAY
-122.35,37.93,39.0,2002.0,416.0,1166.0,395.0,1.7257,91500.0,NEAR BAY
-122.36,37.93,44.0,1891.0,449.0,1047.0,432.0,1.7727,86100.0,NEAR BAY
-122.36,37.93,42.0,1796.0,389.0,1107.0,372.0,1.9375,87000.0,NEAR BAY
-122.37,37.93,37.0,709.0,190.0,644.0,174.0,0.8641,84200.0,NEAR BAY
-122.33,37.91,36.0,1954.0,513.0,1437.0,440.0,1.125,93800.0,NEAR BAY
-122.35,37.92,36.0,921.0,200.0,585.0,236.0,1.9224,94000.0,NEAR BAY
-122.36,37.92,52.0,215.0,41.0,126.0,43.0,1.3929,104200.0,NEAR BAY
-122.35,37.91,4.0,2851.0,798.0,1285.0,712.0,4.2895,186800.0,NEAR BAY
-122.33,37.93,34.0,2326.0,471.0,1356.0,441.0,2.3475,90300.0,NEAR BAY
-122.33,37.93,27.0,2158.0,424.0,1220.0,442.0,3.0156,111500.0,NEAR BAY
-122.34,37.93,32.0,2389.0,652.0,1672.0,584.0,1.4423,88300.0,NEAR BAY
-122.34,37.93,45.0,2225.0,486.0,1304.0,459.0,2.64,112100.0,NEAR BAY
-122.35,37.93,41.0,268.0,75.0,198.0,82.0,3.2222,156300.0,NEAR BAY
-122.32,37.92,29.0,2304.0,399.0,1377.0,454.0,5.0187,140600.0,NEAR BAY
-122.33,37.92,26.0,3887.0,779.0,2512.0,740.0,2.2301,122400.0,NEAR BAY
-122.32,37.92,28.0,4649.0,977.0,2606.0,953.0,3.2674,129100.0,NEAR BAY
-122.32,37.91,34.0,2669.0,647.0,1341.0,555.0,2.6399,119600.0,NEAR BAY
-122.31,37.91,39.0,2955.0,696.0,1417.0,682.0,2.7628,167800.0,NEAR BAY
-122.31,37.91,43.0,2549.0,511.0,1060.0,528.0,3.6417,178400.0,NEAR BAY
-122.31,37.91,45.0,3924.0,834.0,1992.0,773.0,4.1146,177800.0,NEAR BAY
-122.31,37.93,39.0,2505.0,371.0,872.0,345.0,5.3433,286500.0,NEAR BAY
-122.31,37.93,36.0,2403.0,408.0,917.0,404.0,5.0399,253400.0,NEAR BAY
-122.32,37.93,40.0,3056.0,489.0,1103.0,481.0,5.1067,247300.0,NEAR BAY
-122.32,37.94,47.0,1911.0,283.0,697.0,275.0,6.2712,267700.0,NEAR BAY
-122.3,37.92,32.0,3943.0,605.0,1524.0,614.0,6.0677,321600.0,NEAR BAY
-122.29,37.92,35.0,583.0,88.0,235.0,84.0,5.943,288200.0,NEAR BAY
-122.29,37.92,32.0,1736.0,234.0,602.0,231.0,6.516,401000.0,NEAR BAY
-122.3,37.93,34.0,2254.0,357.0,715.0,306.0,4.5,304000.0,NEAR BAY
-122.31,37.93,36.0,1526.0,256.0,696.0,263.0,3.5089,261900.0,NEAR BAY
-122.32,37.93,33.0,296.0,73.0,216.0,63.0,2.675,22500.0,NEAR BAY
-122.31,37.92,30.0,1014.0,236.0,537.0,204.0,2.8456,183300.0,NEAR BAY
-122.31,37.92,38.0,1250.0,236.0,631.0,279.0,3.724,220100.0,NEAR BAY
-122.31,37.92,12.0,1895.0,600.0,983.0,519.0,2.5,195800.0,NEAR BAY
-122.32,37.92,22.0,1119.0,220.0,565.0,199.0,3.3594,186900.0,NEAR BAY
-122.31,37.92,43.0,2116.0,407.0,900.0,361.0,4.1587,212200.0,NEAR BAY
-122.3,37.92,33.0,1615.0,271.0,710.0,285.0,4.0804,239000.0,NEAR BAY
-122.31,37.91,31.0,1432.0,348.0,681.0,348.0,2.7243,218100.0,NEAR BAY
-122.3,37.91,39.0,2686.0,569.0,1159.0,559.0,2.9441,200400.0,NEAR BAY
-122.3,37.91,40.0,2866.0,617.0,1305.0,589.0,3.6321,209100.0,NEAR BAY
-122.3,37.9,37.0,2125.0,489.0,912.0,462.0,2.9219,217200.0,NEAR BAY
-122.3,37.9,41.0,2053.0,435.0,873.0,415.0,3.4091,223000.0,NEAR BAY
-122.3,37.9,35.0,1102.0,308.0,688.0,303.0,2.3946,141700.0,NEAR BAY
-122.3,37.9,30.0,1772.0,471.0,880.0,437.0,2.2672,162500.0,NEAR BAY
-122.29,37.92,36.0,1450.0,235.0,568.0,234.0,6.0,311400.0,NEAR BAY
-122.29,37.91,38.0,2591.0,424.0,905.0,378.0,5.1691,263200.0,NEAR BAY
-122.29,37.91,46.0,2085.0,346.0,748.0,354.0,4.0536,262000.0,NEAR BAY
-122.29,37.91,40.0,2085.0,329.0,796.0,339.0,5.5357,273700.0,NEAR BAY
-122.29,37.9,52.0,2657.0,500.0,1131.0,489.0,4.4286,234900.0,NEAR BAY
-122.28,37.91,38.0,2501.0,348.0,805.0,329.0,6.5576,358500.0,NEAR BAY
-122.28,37.9,49.0,3191.0,516.0,1148.0,507.0,6.3538,333700.0,NEAR BAY
-122.28,37.9,52.0,1369.0,249.0,490.0,248.0,4.1212,287500.0,NEAR BAY
-122.28,37.91,41.0,3009.0,482.0,1053.0,490.0,5.828,324400.0,NEAR BAY
-122.27,37.91,47.0,1930.0,315.0,692.0,296.0,6.3669,315500.0,NEAR BAY
-122.28,37.91,48.0,2083.0,298.0,685.0,286.0,7.3089,331200.0,NEAR BAY
-124.17,41.8,16.0,2739.0,480.0,1259.0,436.0,3.7557,109400.0,NEAR OCEAN
-124.3,41.8,19.0,2672.0,552.0,1298.0,478.0,1.9797,85800.0,NEAR OCEAN
-124.23,41.75,11.0,3159.0,616.0,1343.0,479.0,2.4805,73200.0,NEAR OCEAN
-124.21,41.77,17.0,3461.0,722.0,1947.0,647.0,2.5795,68400.0,NEAR OCEAN
-124.19,41.78,15.0,3140.0,714.0,1645.0,640.0,1.6654,74600.0,NEAR OCEAN
-124.22,41.73,28.0,3003.0,699.0,1530.0,653.0,1.7038,78300.0,NEAR OCEAN
-124.21,41.75,20.0,3810.0,787.0,1993.0,721.0,2.0074,66900.0,NEAR OCEAN
-124.17,41.76,20.0,2673.0,538.0,1282.0,514.0,2.4605,105900.0,NEAR OCEAN
-124.16,41.74,15.0,2715.0,569.0,1532.0,530.0,2.1829,69500.0,NEAR OCEAN
-124.14,41.95,21.0,2696.0,578.0,1208.0,494.0,2.275,122400.0,NEAR OCEAN
-124.16,41.92,19.0,1668.0,324.0,841.0,283.0,2.1336,75000.0,NEAR OCEAN
-124.3,41.84,17.0,2677.0,531.0,1244.0,456.0,3.0313,103600.0,NEAR OCEAN
-124.15,41.81,17.0,3276.0,628.0,3546.0,585.0,2.2868,103100.0,NEAR OCEAN
-123.91,41.68,22.0,1880.0,360.0,743.0,314.0,2.9688,152700.0,<1H OCEAN
-123.83,41.88,18.0,1504.0,357.0,660.0,258.0,3.13,116700.0,<1H OCEAN
-123.92,41.54,22.0,2920.0,636.0,1382.0,499.0,2.0202,71100.0,NEAR OCEAN
-119.94,38.96,20.0,1451.0,386.0,467.0,255.0,1.5536,212500.0,INLAND
-119.95,38.95,8.0,430.0,107.0,36.0,18.0,2.625,187500.0,INLAND
-119.95,38.95,22.0,1058.0,352.0,851.0,269.0,2.02,87500.0,INLAND
-119.95,38.95,21.0,2046.0,580.0,952.0,353.0,1.7245,92200.0,INLAND
-119.94,38.95,25.0,1789.0,536.0,1134.0,396.0,2.32,91300.0,INLAND
-119.95,38.94,24.0,2180.0,517.0,755.0,223.0,2.5875,173400.0,INLAND
-119.93,38.94,27.0,1709.0,408.0,97.0,44.0,2.4917,200000.0,INLAND
-119.97,38.94,26.0,1485.0,334.0,406.0,180.0,1.9667,84600.0,INLAND
-119.97,38.93,24.0,856.0,185.0,388.0,108.0,3.1806,107200.0,INLAND
-119.98,38.96,25.0,2443.0,444.0,868.0,342.0,3.5417,114800.0,INLAND
-119.96,38.94,19.0,1429.0,292.0,585.0,188.0,2.2589,131600.0,INLAND
-119.96,38.94,27.0,1492.0,393.0,717.0,254.0,1.8906,104200.0,INLAND
-119.96,38.93,22.0,2731.0,632.0,1215.0,483.0,2.83,110500.0,INLAND
-119.94,38.92,24.0,1258.0,216.0,235.0,96.0,4.6,136800.0,INLAND
-119.98,38.94,25.0,1339.0,328.0,503.0,219.0,1.9018,109700.0,INLAND
-119.98,38.94,23.0,1564.0,298.0,339.0,147.0,4.0417,99300.0,INLAND
-119.99,38.94,24.0,1216.0,289.0,421.0,185.0,3.1625,103600.0,INLAND
-119.99,38.94,22.0,3119.0,640.0,786.0,351.0,3.0806,118500.0,INLAND
-119.99,38.93,23.0,1882.0,414.0,673.0,277.0,2.9091,141900.0,INLAND
-119.98,38.93,28.0,1194.0,272.0,494.0,203.0,2.3281,85800.0,INLAND
-119.98,38.93,25.0,1262.0,293.0,534.0,226.0,2.6607,90400.0,INLAND
-119.98,38.92,27.0,2682.0,606.0,1010.0,399.0,3.15,86900.0,INLAND
-119.98,38.92,28.0,1408.0,312.0,522.0,221.0,2.0708,89600.0,INLAND
-120.0,38.93,17.0,8005.0,1382.0,999.0,383.0,3.9722,313400.0,INLAND
-120.01,38.93,22.0,3080.0,610.0,1045.0,425.0,2.996,126100.0,INLAND
-120.0,38.92,17.0,1106.0,207.0,466.0,180.0,3.3295,126600.0,INLAND
-120.0,38.92,26.0,529.0,116.0,191.0,83.0,3.5,103600.0,INLAND
-120.01,38.92,23.0,964.0,246.0,485.0,198.0,1.7188,96100.0,INLAND
-120.01,38.92,25.0,1758.0,357.0,689.0,278.0,2.675,104200.0,INLAND
-120.02,38.91,22.0,2138.0,493.0,829.0,330.0,2.2056,107200.0,INLAND
-120.02,38.92,24.0,1194.0,246.0,414.0,151.0,3.2396,101900.0,INLAND
-120.01,38.91,27.0,968.0,191.0,283.0,143.0,2.0938,94400.0,INLAND
-120.01,38.91,17.0,2732.0,609.0,1005.0,499.0,1.9851,86700.0,INLAND
-120.01,38.89,24.0,1669.0,422.0,589.0,281.0,3.0089,100800.0,INLAND
-120.0,38.9,21.0,1653.0,419.0,737.0,308.0,1.9727,114100.0,INLAND
-119.99,38.88,17.0,2807.0,529.0,675.0,251.0,2.7457,107800.0,INLAND
-119.98,38.9,16.0,3109.0,572.0,885.0,334.0,3.5,134700.0,INLAND
-119.92,38.91,15.0,3831.0,625.0,984.0,328.0,5.0718,162500.0,INLAND
-120.0,38.87,12.0,1437.0,268.0,395.0,144.0,4.225,127600.0,INLAND
-119.96,38.84,17.0,2722.0,512.0,828.0,289.0,3.5714,109700.0,INLAND
-120.02,38.76,15.0,3142.0,618.0,725.0,285.0,4.3333,121400.0,INLAND
-120.04,38.86,16.0,2708.0,481.0,712.0,261.0,3.7891,117700.0,INLAND
-120.03,38.89,15.0,3042.0,588.0,918.0,336.0,3.8333,118800.0,INLAND
-120.02,38.86,19.0,2429.0,459.0,883.0,300.0,3.017,97600.0,INLAND
-120.13,39.06,22.0,2465.0,539.0,381.0,146.0,2.875,87500.0,INLAND
-120.16,39.04,18.0,2040.0,402.0,350.0,129.0,4.0313,126000.0,INLAND
-120.16,39.01,16.0,1463.0,264.0,54.0,26.0,4.975,206300.0,INLAND
-120.06,39.01,19.0,2967.0,528.0,112.0,48.0,4.0714,437500.0,INLAND
-120.1,38.91,33.0,1561.0,282.0,30.0,11.0,1.875,500001.0,INLAND
-120.97,38.91,7.0,4341.0,716.0,1978.0,682.0,4.8311,172200.0,INLAND
-121.04,38.81,11.0,3522.0,623.0,1456.0,544.0,3.93,163400.0,INLAND
-120.72,38.94,10.0,1604.0,352.0,540.0,190.0,3.7625,113200.0,INLAND
-120.88,38.91,15.0,3876.0,778.0,1960.0,691.0,2.902,127300.0,INLAND
-120.92,38.86,11.0,1720.0,345.0,850.0,326.0,3.2027,128600.0,INLAND
-120.87,38.83,12.0,2180.0,423.0,1070.0,377.0,2.8562,128200.0,INLAND
-120.84,38.81,11.0,1280.0,286.0,609.0,248.0,3.1635,132600.0,INLAND
-120.81,38.89,17.0,1438.0,324.0,675.0,268.0,2.9444,119300.0,INLAND
-120.79,38.83,15.0,1374.0,291.0,709.0,239.0,1.7222,118500.0,INLAND
-120.71,38.85,8.0,1877.0,479.0,884.0,323.0,3.4688,120100.0,INLAND
-120.5,38.87,10.0,81.0,41.0,55.0,16.0,4.9583,87500.0,INLAND
-120.3,38.9,11.0,1961.0,435.0,113.0,53.0,0.9227,95500.0,INLAND
-121.09,38.68,15.0,5218.0,711.0,1949.0,659.0,4.7083,213300.0,INLAND
-121.08,38.67,10.0,2499.0,331.0,1040.0,333.0,6.844,239600.0,INLAND
-121.07,38.66,22.0,1831.0,274.0,813.0,269.0,4.6394,173400.0,INLAND
-121.06,38.7,9.0,13255.0,1739.0,5001.0,1627.0,6.314,228900.0,INLAND
-121.0,38.58,12.0,3425.0,549.0,1357.0,451.0,5.3344,217500.0,INLAND
-121.01,38.73,7.0,6322.0,1046.0,2957.0,1024.0,4.7276,197500.0,INLAND
-120.99,38.69,5.0,5743.0,1074.0,2651.0,962.0,4.1163,172500.0,INLAND
-121.02,38.66,4.0,7392.0,1155.0,3096.0,1065.0,4.5246,198900.0,INLAND
-120.99,38.67,8.0,4913.0,744.0,2005.0,723.0,5.4413,187900.0,INLAND
-120.98,38.67,13.0,3432.0,516.0,1286.0,470.0,5.584,186600.0,INLAND
-120.98,38.66,9.0,2073.0,404.0,916.0,373.0,3.225,163300.0,INLAND
-120.98,38.68,5.0,4810.0,909.0,2242.0,900.0,3.2964,176900.0,INLAND
-120.95,38.69,10.0,3421.0,563.0,1689.0,545.0,5.2032,217100.0,INLAND
-120.96,38.66,11.0,2339.0,436.0,1062.0,380.0,3.9036,180800.0,INLAND
-120.97,38.65,9.0,3707.0,602.0,1601.0,555.0,4.0714,300600.0,INLAND
-120.93,38.65,12.0,2213.0,384.0,1097.0,351.0,4.5568,170100.0,INLAND
-120.91,38.62,12.0,4545.0,748.0,2033.0,718.0,4.1843,207600.0,INLAND
-120.95,38.79,12.0,3247.0,579.0,1459.0,517.0,4.3981,202800.0,INLAND
-120.93,38.77,9.0,2229.0,355.0,788.0,341.0,5.5111,196300.0,INLAND
-120.91,38.73,11.0,5460.0,859.0,2645.0,838.0,4.835,230600.0,INLAND
-120.87,38.71,13.0,2692.0,470.0,1302.0,420.0,4.0,167400.0,INLAND
-120.84,38.77,11.0,1013.0,188.0,410.0,158.0,4.825,184600.0,INLAND
-120.86,38.75,15.0,1533.0,300.0,674.0,287.0,2.5625,146100.0,INLAND
-120.83,38.74,17.0,3685.0,775.0,1714.0,734.0,2.2269,128300.0,INLAND
-120.84,38.73,17.0,2616.0,492.0,1158.0,457.0,2.8807,142600.0,INLAND
-120.81,38.73,38.0,2005.0,385.0,882.0,353.0,2.5104,120500.0,INLAND
-120.78,38.74,28.0,4236.0,877.0,2008.0,881.0,2.1603,111300.0,INLAND
-120.81,38.74,29.0,2259.0,482.0,1099.0,463.0,2.3314,121600.0,INLAND
-120.76,38.76,21.0,3509.0,606.0,1576.0,564.0,2.6392,148500.0,INLAND
-120.76,38.73,17.0,512.0,129.0,314.0,140.0,1.5625,108300.0,INLAND
-120.78,38.73,31.0,3117.0,616.0,1606.0,588.0,2.9844,127900.0,INLAND
-120.81,38.73,42.0,1276.0,260.0,799.0,259.0,2.7273,128600.0,INLAND
-120.78,38.72,19.0,4414.0,767.0,1865.0,699.0,3.6406,150900.0,INLAND
-120.67,38.76,35.0,2104.0,403.0,1060.0,400.0,2.1682,138100.0,INLAND
-120.7,38.75,19.0,2325.0,430.0,967.0,376.0,2.9,158700.0,INLAND
-120.71,38.73,17.0,2146.0,396.0,862.0,351.0,2.9219,141300.0,INLAND
-120.58,38.77,15.0,2155.0,394.0,857.0,356.0,4.03,141200.0,INLAND
-120.58,38.77,21.0,1661.0,406.0,789.0,319.0,2.3583,108700.0,INLAND
-120.6,38.76,22.0,1236.0,273.0,615.0,248.0,3.0217,106900.0,INLAND
-120.59,38.76,21.0,1728.0,417.0,731.0,334.0,1.7266,94700.0,INLAND
-120.63,38.75,17.0,3145.0,621.0,1432.0,559.0,2.7201,117500.0,INLAND
-120.7,38.69,13.0,4492.0,821.0,2093.0,734.0,4.0709,151700.0,INLAND
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-120.69,36.84,18.0,902.0,195.0,771.0,174.0,2.2083,55000.0,INLAND
-119.55,36.51,46.0,55.0,11.0,26.0,5.0,4.125,67500.0,INLAND
-119.54,36.51,36.0,49.0,7.0,28.0,2.0,4.625,162500.0,INLAND
-122.2,39.75,18.0,2603.0,576.0,1616.0,588.0,2.0192,63700.0,INLAND
-122.18,39.75,30.0,4157.0,834.0,1885.0,774.0,1.6948,67500.0,INLAND
-122.16,39.74,20.0,707.0,126.0,337.0,125.0,3.0469,85000.0,INLAND
-122.19,39.74,39.0,4179.0,814.0,2111.0,809.0,2.3507,65600.0,INLAND
-122.25,39.79,16.0,2127.0,412.0,1104.0,369.0,3.0469,72200.0,INLAND
-122.16,39.78,32.0,1288.0,221.0,562.0,203.0,2.325,69600.0,INLAND
-122.13,39.74,20.0,1401.0,280.0,668.0,250.0,2.2569,94300.0,INLAND
-122.18,39.7,23.0,1658.0,307.0,836.0,297.0,3.35,85400.0,INLAND
-122.23,39.75,16.0,2026.0,396.0,1031.0,382.0,1.9375,73100.0,INLAND
-122.74,39.71,16.0,255.0,73.0,85.0,38.0,1.6607,14999.0,INLAND
-122.38,39.68,21.0,1155.0,210.0,510.0,175.0,2.3851,67500.0,INLAND
-122.14,39.65,33.0,419.0,77.0,190.0,67.0,3.6429,87500.0,INLAND
-122.18,39.55,28.0,1471.0,259.0,673.0,246.0,3.25,81600.0,INLAND
-122.53,39.5,25.0,1231.0,240.0,658.0,211.0,2.4861,71900.0,INLAND
-122.19,39.53,34.0,2679.0,533.0,1287.0,505.0,2.165,58700.0,INLAND
-122.2,39.53,22.0,3265.0,658.0,1647.0,594.0,2.3566,71000.0,INLAND
-122.23,39.53,8.0,1268.0,336.0,1237.0,326.0,1.3708,125000.0,INLAND
-122.22,39.51,17.0,1201.0,268.0,555.0,277.0,2.1,66900.0,INLAND
-122.2,39.52,39.0,2551.0,482.0,1181.0,437.0,2.0625,63400.0,INLAND
-122.2,39.51,37.0,2358.0,413.0,1060.0,424.0,2.8333,69700.0,INLAND
-122.19,39.5,23.0,462.0,97.0,261.0,90.0,2.1705,53000.0,INLAND
-122.04,39.72,23.0,2502.0,481.0,1443.0,455.0,2.5625,70000.0,INLAND
-122.05,39.6,34.0,2051.0,342.0,958.0,322.0,2.8466,95300.0,INLAND
-122.1,39.47,43.0,1320.0,215.0,512.0,197.0,2.4917,77100.0,INLAND
-121.94,39.45,39.0,844.0,161.0,535.0,165.0,1.832,70500.0,INLAND
-122.01,39.74,20.0,2332.0,518.0,1856.0,495.0,2.1746,58700.0,INLAND
-124.17,40.8,52.0,661.0,316.0,392.0,244.0,0.957,60000.0,NEAR OCEAN
-124.16,40.8,52.0,2416.0,618.0,1150.0,571.0,1.7308,80500.0,NEAR OCEAN
-124.16,40.79,52.0,1264.0,277.0,591.0,284.0,1.7778,76900.0,NEAR OCEAN
-124.17,40.8,52.0,1606.0,419.0,891.0,367.0,1.585,75500.0,NEAR OCEAN
-124.17,40.8,52.0,1557.0,344.0,758.0,319.0,1.8529,62500.0,NEAR OCEAN
-124.16,40.79,52.0,2148.0,421.0,975.0,430.0,2.2566,92700.0,NEAR OCEAN
-124.16,40.78,50.0,2285.0,403.0,837.0,353.0,2.5417,85400.0,NEAR OCEAN
-124.17,40.78,39.0,1606.0,330.0,731.0,327.0,1.6369,68300.0,NEAR OCEAN
-124.19,40.78,37.0,1371.0,319.0,640.0,260.0,1.8242,70000.0,NEAR OCEAN
-124.18,40.79,39.0,1836.0,352.0,883.0,337.0,1.745,70500.0,NEAR OCEAN
-124.18,40.79,40.0,1398.0,311.0,788.0,279.0,1.4668,64600.0,NEAR OCEAN
-124.17,40.79,43.0,2285.0,479.0,1169.0,482.0,1.9688,70500.0,NEAR OCEAN
-124.16,40.78,43.0,2241.0,446.0,932.0,395.0,2.9038,82000.0,NEAR OCEAN
-124.16,40.77,35.0,2141.0,438.0,1053.0,434.0,2.8529,85600.0,NEAR OCEAN
-124.17,40.77,30.0,1895.0,366.0,990.0,359.0,2.2227,81300.0,NEAR OCEAN
-124.18,40.78,37.0,1453.0,293.0,867.0,310.0,2.5536,70200.0,NEAR OCEAN
-124.18,40.78,33.0,1076.0,222.0,656.0,236.0,2.5096,72200.0,NEAR OCEAN
-124.18,40.78,34.0,1592.0,364.0,950.0,317.0,2.1607,67000.0,NEAR OCEAN
-124.17,40.75,13.0,2171.0,339.0,951.0,353.0,4.8516,116100.0,NEAR OCEAN
-124.17,40.76,26.0,1776.0,361.0,992.0,380.0,2.8056,82800.0,NEAR OCEAN
-124.19,40.77,30.0,2975.0,634.0,1367.0,583.0,2.442,69000.0,NEAR OCEAN
-124.15,40.81,50.0,340.0,74.0,235.0,83.0,1.75,67500.0,NEAR OCEAN
-124.14,40.8,32.0,1373.0,312.0,872.0,306.0,2.5,72600.0,NEAR OCEAN
-124.15,40.8,47.0,1486.0,335.0,765.0,329.0,1.755,74100.0,NEAR OCEAN
-124.16,40.8,52.0,2167.0,480.0,908.0,451.0,1.6111,74700.0,NEAR OCEAN
-124.16,40.8,52.0,1703.0,500.0,952.0,435.0,1.1386,74100.0,NEAR OCEAN
-124.14,40.79,38.0,1552.0,290.0,873.0,291.0,2.4896,81000.0,NEAR OCEAN
-124.15,40.78,41.0,2127.0,358.0,911.0,349.0,3.1711,104200.0,NEAR OCEAN
-124.16,40.78,46.0,1975.0,346.0,791.0,349.0,3.8,81800.0,NEAR OCEAN
-124.16,40.79,46.0,3042.0,597.0,1206.0,541.0,2.1135,90600.0,NEAR OCEAN
-124.15,40.79,37.0,2692.0,488.0,1263.0,486.0,3.0216,86400.0,NEAR OCEAN
-124.14,40.78,35.0,2426.0,423.0,982.0,432.0,3.4219,92800.0,NEAR OCEAN
-124.14,40.77,27.0,3046.0,605.0,1407.0,571.0,2.9143,99600.0,NEAR OCEAN
-124.15,40.76,24.0,2858.0,511.0,1388.0,512.0,3.375,100600.0,NEAR OCEAN
-124.15,40.78,36.0,2112.0,374.0,829.0,368.0,3.3984,90000.0,NEAR OCEAN
-124.11,40.81,23.0,959.0,212.0,425.0,175.0,2.5536,96100.0,NEAR OCEAN
-124.13,40.78,34.0,2142.0,420.0,1056.0,382.0,2.1101,86900.0,NEAR OCEAN
-124.13,40.8,31.0,2152.0,462.0,1259.0,420.0,2.2478,81100.0,NEAR OCEAN
-124.13,40.79,29.0,2474.0,453.0,1130.0,427.0,2.8833,83000.0,NEAR OCEAN
-124.13,40.79,32.0,2017.0,359.0,855.0,346.0,3.5833,92800.0,NEAR OCEAN
-124.06,40.86,34.0,4183.0,,1891.0,669.0,3.2216,98100.0,NEAR OCEAN
-124.05,40.85,31.0,2414.0,428.0,1005.0,401.0,3.5156,143000.0,NEAR OCEAN
-124.02,40.8,22.0,2588.0,435.0,1198.0,442.0,3.9792,133900.0,<1H OCEAN
-124.08,40.86,18.0,1287.0,484.0,805.0,502.0,1.1157,150000.0,NEAR OCEAN
-124.09,40.86,25.0,1322.0,387.0,794.0,379.0,1.1742,75000.0,NEAR OCEAN
-124.09,40.87,44.0,692.0,206.0,398.0,211.0,1.1576,87500.0,NEAR OCEAN
-124.07,40.87,47.0,1765.0,326.0,796.0,333.0,2.2138,99200.0,NEAR OCEAN
-124.08,40.87,29.0,1710.0,469.0,990.0,425.0,1.1479,101100.0,NEAR OCEAN
-124.09,40.88,50.0,921.0,187.0,420.0,187.0,2.2188,105800.0,NEAR OCEAN
-124.07,40.87,31.0,334.0,134.0,780.0,130.0,0.7684,153100.0,NEAR OCEAN
-124.15,40.88,33.0,2235.0,506.0,1165.0,441.0,1.725,57500.0,NEAR OCEAN
-124.1,40.88,35.0,2987.0,578.0,1581.0,585.0,2.0657,81100.0,NEAR OCEAN
-124.09,40.88,31.0,1982.0,495.0,1052.0,467.0,1.5326,74100.0,NEAR OCEAN
-124.09,40.88,26.0,2683.0,555.0,1353.0,526.0,2.4321,82100.0,NEAR OCEAN
-124.1,40.9,18.0,4032.0,798.0,1948.0,775.0,2.7321,92600.0,NEAR OCEAN
-124.23,40.81,52.0,1112.0,209.0,544.0,172.0,3.3462,50800.0,NEAR OCEAN
-124.06,40.88,12.0,2087.0,424.0,1603.0,438.0,2.5667,139500.0,NEAR OCEAN
-123.74,40.66,25.0,2395.0,431.0,983.0,375.0,3.0469,136000.0,<1H OCEAN
-124.08,40.91,13.0,2522.0,719.0,1381.0,628.0,1.6667,78800.0,NEAR OCEAN
-123.76,41.03,24.0,2386.0,565.0,1058.0,414.0,2.0644,79800.0,<1H OCEAN
-123.85,41.32,31.0,938.0,238.0,425.0,157.0,1.0486,36700.0,<1H OCEAN
-123.72,41.09,19.0,1970.0,431.0,1166.0,363.0,1.8208,50000.0,<1H OCEAN
-123.63,41.11,19.0,1797.0,384.0,1033.0,327.0,1.4911,59200.0,<1H OCEAN
-123.66,41.3,22.0,1580.0,372.0,686.0,264.0,1.8065,62700.0,<1H OCEAN
-123.52,41.01,17.0,1564.0,345.0,517.0,222.0,2.1542,83800.0,INLAND
-124.08,41.36,29.0,1029.0,239.0,509.0,196.0,2.0156,62800.0,NEAR OCEAN
-124.06,41.13,22.0,3263.0,799.0,1384.0,578.0,2.4708,119400.0,NEAR OCEAN
-124.14,41.06,32.0,1020.0,215.0,421.0,198.0,3.0208,143400.0,NEAR OCEAN
-124.1,41.04,26.0,1633.0,380.0,890.0,370.0,1.9741,97900.0,NEAR OCEAN
-124.01,40.97,21.0,1513.0,319.0,943.0,301.0,3.538,102700.0,<1H OCEAN
-124.0,40.92,29.0,1429.0,,672.0,266.0,2.9485,98800.0,<1H OCEAN
-124.01,40.89,28.0,1470.0,336.0,811.0,314.0,2.4559,75600.0,<1H OCEAN
-123.98,40.88,41.0,1719.0,372.0,844.0,336.0,2.6923,84200.0,<1H OCEAN
-123.88,40.93,28.0,1272.0,259.0,519.0,220.0,3.2891,106300.0,<1H OCEAN
-124.16,41.02,23.0,1672.0,385.0,1060.0,390.0,2.1726,75500.0,NEAR OCEAN
-124.08,40.99,18.0,3297.0,662.0,1554.0,578.0,2.6847,111300.0,NEAR OCEAN
-124.16,40.95,20.0,1075.0,214.0,529.0,196.0,3.1406,96000.0,NEAR OCEAN
-124.11,40.95,19.0,1734.0,365.0,866.0,342.0,2.96,81700.0,NEAR OCEAN
-124.09,40.95,18.0,2250.0,484.0,1248.0,472.0,2.5893,99600.0,NEAR OCEAN
-124.11,40.93,25.0,2392.0,474.0,1298.0,461.0,3.5076,73600.0,NEAR OCEAN
-124.11,40.93,17.0,1661.0,329.0,948.0,357.0,2.7639,90200.0,NEAR OCEAN
-124.08,40.94,18.0,1550.0,345.0,941.0,335.0,2.3147,70100.0,NEAR OCEAN
-124.09,40.92,12.0,2497.0,491.0,1153.0,462.0,2.8182,126900.0,NEAR OCEAN
-124.05,40.94,14.0,1452.0,217.0,516.0,181.0,5.0329,165600.0,NEAR OCEAN
-124.1,40.95,17.0,1485.0,345.0,823.0,316.0,1.8993,78400.0,NEAR OCEAN
-124.07,40.81,23.0,2103.0,411.0,1019.0,387.0,2.9911,119700.0,NEAR OCEAN
-124.02,40.72,28.0,3513.0,634.0,1658.0,598.0,3.8095,119900.0,<1H OCEAN
-124.1,40.73,33.0,644.0,129.0,334.0,121.0,3.9659,111800.0,NEAR OCEAN
-124.17,40.74,17.0,2026.0,338.0,873.0,313.0,4.0357,128900.0,NEAR OCEAN
-124.14,40.72,18.0,2581.0,499.0,1375.0,503.0,2.8446,100500.0,NEAR OCEAN
-124.14,40.67,23.0,580.0,117.0,320.0,109.0,4.2054,130600.0,NEAR OCEAN
-124.19,40.73,21.0,5694.0,1056.0,2907.0,972.0,3.5363,90100.0,NEAR OCEAN
-124.21,40.75,32.0,1218.0,331.0,620.0,268.0,1.6528,58100.0,NEAR OCEAN
-124.27,40.69,36.0,2349.0,528.0,1194.0,465.0,2.5179,79000.0,NEAR OCEAN
-124.18,40.62,35.0,952.0,178.0,480.0,179.0,3.0536,107000.0,NEAR OCEAN
-124.17,40.62,32.0,1595.0,309.0,706.0,277.0,2.8958,86400.0,NEAR OCEAN
-124.13,40.62,43.0,2131.0,399.0,910.0,389.0,2.5804,92100.0,NEAR OCEAN
-124.16,40.6,39.0,1322.0,283.0,642.0,292.0,2.4519,85100.0,NEAR OCEAN
-124.15,40.59,39.0,1186.0,238.0,539.0,212.0,2.0938,79600.0,NEAR OCEAN
-124.14,40.6,27.0,1148.0,206.0,521.0,219.0,4.025,128100.0,NEAR OCEAN
-124.14,40.59,22.0,1665.0,405.0,826.0,382.0,1.5625,66800.0,NEAR OCEAN
-124.14,40.59,17.0,2985.0,610.0,1544.0,584.0,2.178,76800.0,NEAR OCEAN
-124.05,40.59,32.0,1878.0,340.0,937.0,353.0,3.4408,95200.0,<1H OCEAN
-124.09,40.55,24.0,2978.0,553.0,1370.0,480.0,2.7644,97300.0,<1H OCEAN
-123.96,40.57,31.0,1854.0,365.0,883.0,310.0,2.3167,92600.0,<1H OCEAN
-123.73,40.48,25.0,2015.0,524.0,746.0,251.0,1.7153,77100.0,INLAND
-124.14,40.58,25.0,1899.0,357.0,891.0,355.0,2.6987,92500.0,<1H OCEAN
-124.14,40.57,29.0,2864.0,600.0,1314.0,562.0,2.1354,75100.0,<1H OCEAN
-124.11,40.57,33.0,1348.0,234.0,573.0,236.0,2.4896,74100.0,<1H OCEAN
-124.13,40.55,38.0,544.0,,240.0,91.0,3.25,94800.0,<1H OCEAN
-124.1,40.5,30.0,1927.0,393.0,996.0,374.0,2.2357,72300.0,<1H OCEAN
-124.1,40.5,42.0,2380.0,553.0,1300.0,504.0,1.7574,57500.0,<1H OCEAN
-124.09,40.44,38.0,2220.0,426.0,1041.0,401.0,2.3947,70500.0,<1H OCEAN
-124.1,40.47,52.0,1196.0,236.0,965.0,265.0,3.5345,55000.0,<1H OCEAN
-124.03,40.45,34.0,1006.0,213.0,443.0,158.0,2.6094,71300.0,<1H OCEAN
-124.26,40.58,52.0,2217.0,394.0,907.0,369.0,2.3571,111400.0,NEAR OCEAN
-124.23,40.54,52.0,2694.0,453.0,1152.0,435.0,3.0806,106700.0,NEAR OCEAN
-124.35,40.54,52.0,1820.0,300.0,806.0,270.0,3.0147,94600.0,NEAR OCEAN
-124.25,40.28,32.0,1430.0,419.0,434.0,187.0,1.9417,76100.0,NEAR OCEAN
-124.08,40.06,17.0,1319.0,267.0,393.0,163.0,2.625,135600.0,NEAR OCEAN
-124.0,40.22,16.0,2088.0,535.0,816.0,326.0,1.319,70700.0,<1H OCEAN
-123.84,40.28,28.0,2809.0,605.0,1093.0,438.0,2.0962,74000.0,<1H OCEAN
-123.68,40.24,31.0,1852.0,452.0,917.0,359.0,1.725,54300.0,<1H OCEAN
-123.82,40.16,19.0,2283.0,634.0,1184.0,453.0,1.2227,76800.0,<1H OCEAN
-123.82,40.12,33.0,2985.0,591.0,1221.0,486.0,2.087,82400.0,<1H OCEAN
-123.75,40.11,35.0,2052.0,477.0,900.0,402.0,1.9625,101500.0,<1H OCEAN
-123.78,40.05,17.0,2019.0,496.0,899.0,347.0,2.1864,101900.0,<1H OCEAN
-115.52,33.12,38.0,1327.0,262.0,784.0,231.0,1.8793,60800.0,INLAND
-115.52,33.13,18.0,1109.0,283.0,1006.0,253.0,2.163,53400.0,INLAND
-115.51,33.12,21.0,1024.0,218.0,890.0,232.0,2.101,46700.0,INLAND
-115.46,33.19,33.0,1234.0,373.0,777.0,298.0,1.0,40000.0,INLAND
-115.51,33.24,32.0,1995.0,523.0,1069.0,410.0,1.6552,43300.0,INLAND
-115.6,33.2,37.0,709.0,187.0,390.0,142.0,2.4511,72500.0,INLAND
-115.73,33.09,27.0,452.0,103.0,258.0,61.0,2.9,87500.0,INLAND
-115.62,33.04,17.0,1009.0,231.0,745.0,217.0,2.0463,61200.0,INLAND
-115.62,33.04,20.0,1121.0,244.0,766.0,230.0,2.2969,62000.0,INLAND
-115.6,33.04,31.0,314.0,61.0,152.0,56.0,3.3472,91700.0,INLAND
-115.41,32.99,29.0,1141.0,220.0,684.0,194.0,3.4038,107800.0,INLAND
-115.59,32.96,17.0,841.0,146.0,473.0,154.0,3.1979,113500.0,INLAND
-115.52,32.98,32.0,1615.0,382.0,1307.0,345.0,1.4583,58600.0,INLAND
-115.52,32.98,21.0,1302.0,327.0,1244.0,316.0,2.2054,66400.0,INLAND
-115.53,32.99,25.0,2578.0,634.0,2082.0,565.0,1.7159,62200.0,INLAND
-115.51,32.99,20.0,1402.0,287.0,1104.0,317.0,1.9088,63700.0,INLAND
-115.54,32.99,23.0,1459.0,373.0,1148.0,388.0,1.5372,69400.0,INLAND
-115.54,32.98,27.0,1513.0,395.0,1121.0,381.0,1.9464,60600.0,INLAND
-115.54,32.99,17.0,1697.0,268.0,911.0,254.0,4.3523,96000.0,INLAND
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-119.01,35.37,35.0,120.0,35.0,477.0,41.0,1.9125,47500.0,INLAND
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-119.02,35.38,52.0,90.0,35.0,36.0,31.0,0.8054,60000.0,INLAND
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-119.05,35.36,30.0,4635.0,800.0,2307.0,754.0,3.6548,84700.0,INLAND
-119.05,35.36,16.0,4507.0,1049.0,2261.0,959.0,3.3261,118400.0,INLAND
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-119.03,35.37,42.0,2508.0,483.0,1035.0,442.0,2.6513,72300.0,INLAND
-119.03,35.36,41.0,1944.0,363.0,977.0,388.0,3.9097,81300.0,INLAND
-119.04,35.36,40.0,1533.0,312.0,771.0,306.0,3.0435,69500.0,INLAND
-119.04,35.37,46.0,1637.0,338.0,714.0,297.0,2.1818,75300.0,INLAND
-119.02,35.37,44.0,2687.0,620.0,1521.0,549.0,1.7213,61600.0,INLAND
-119.02,35.36,48.0,1833.0,396.0,947.0,363.0,2.2827,70000.0,INLAND
-119.02,35.36,47.0,1631.0,340.0,847.0,315.0,2.5062,73700.0,INLAND
-119.03,35.36,41.0,2551.0,594.0,1342.0,595.0,1.9671,76800.0,INLAND
-119.01,35.37,38.0,1702.0,380.0,1191.0,366.0,1.8801,57800.0,INLAND
-119.01,35.36,38.0,1838.0,388.0,1203.0,373.0,1.6797,60700.0,INLAND
-119.01,35.36,36.0,2658.0,626.0,1490.0,529.0,1.2157,57000.0,INLAND
-119.01,35.36,24.0,1941.0,484.0,1277.0,435.0,1.056,51600.0,INLAND
-119.01,35.37,33.0,821.0,181.0,579.0,172.0,1.2469,46700.0,INLAND
-119.0,35.36,40.0,850.0,227.0,764.0,186.0,0.9407,43600.0,INLAND
-119.0,35.36,39.0,896.0,217.0,805.0,197.0,1.25,42500.0,INLAND
-119.0,35.35,35.0,1164.0,277.0,992.0,284.0,1.4015,48700.0,INLAND
-119.0,35.36,35.0,1021.0,280.0,1258.0,239.0,1.7375,48600.0,INLAND
-118.98,35.37,36.0,1562.0,398.0,1223.0,329.0,0.9675,47100.0,INLAND
-118.98,35.36,29.0,1244.0,266.0,933.0,227.0,1.6981,49400.0,INLAND
-118.98,35.36,15.0,1482.0,338.0,1059.0,279.0,1.2617,42700.0,INLAND
-118.99,35.36,18.0,1524.0,354.0,1210.0,344.0,1.1136,47800.0,INLAND
-118.99,35.36,31.0,1498.0,359.0,1168.0,340.0,1.2232,49300.0,INLAND
-118.94,35.36,19.0,2714.0,512.0,1823.0,500.0,3.1281,76200.0,INLAND
-118.95,35.36,30.0,2294.0,508.0,1753.0,482.0,2.1078,54700.0,INLAND
-118.96,35.37,32.0,1025.0,259.0,874.0,236.0,1.9612,53400.0,INLAND
-118.96,35.36,35.0,2285.0,497.0,1738.0,480.0,2.4848,54000.0,INLAND
-118.97,35.37,34.0,1379.0,333.0,1156.0,315.0,1.7197,48900.0,INLAND
-118.97,35.36,31.0,1418.0,306.0,1219.0,312.0,1.5743,46700.0,INLAND
-118.95,35.32,29.0,3480.0,608.0,2007.0,541.0,3.2738,78700.0,INLAND
-118.98,35.35,21.0,496.0,131.0,511.0,124.0,1.7614,33200.0,INLAND
-118.99,35.35,27.0,1615.0,355.0,1380.0,332.0,1.6632,49800.0,INLAND
-118.99,35.33,36.0,1590.0,367.0,1311.0,390.0,1.6786,52900.0,INLAND
-118.99,35.32,26.0,875.0,199.0,567.0,204.0,0.9288,36600.0,INLAND
-119.0,35.35,31.0,2931.0,716.0,1969.0,588.0,2.2155,62100.0,INLAND
-118.99,35.35,32.0,1293.0,317.0,1109.0,286.0,1.1786,45600.0,INLAND
-119.01,35.35,34.0,1354.0,325.0,922.0,304.0,2.1875,58000.0,INLAND
-119.01,35.34,44.0,1730.0,343.0,782.0,278.0,3.0208,63700.0,INLAND
-119.02,35.35,42.0,1239.0,251.0,776.0,272.0,1.983,63300.0,INLAND
-119.01,35.35,39.0,598.0,149.0,366.0,132.0,1.9125,57900.0,INLAND
-119.02,35.35,38.0,1472.0,305.0,670.0,282.0,2.2407,76000.0,INLAND
-119.02,35.34,38.0,1463.0,294.0,692.0,295.0,2.3125,65800.0,INLAND
-119.03,35.34,36.0,3474.0,645.0,1679.0,616.0,2.7256,71900.0,INLAND
-119.03,35.35,34.0,1441.0,294.0,695.0,275.0,2.6875,73700.0,INLAND
-119.04,35.35,31.0,1607.0,336.0,817.0,307.0,2.5644,73000.0,INLAND
-119.04,35.35,27.0,4590.0,897.0,2212.0,894.0,3.1753,85000.0,INLAND
-119.06,35.35,20.0,9351.0,2139.0,4584.0,1953.0,2.575,69900.0,INLAND
-119.05,35.34,14.0,3580.0,984.0,1933.0,912.0,2.6637,175000.0,INLAND
-119.05,35.33,18.0,12707.0,2685.0,7009.0,2552.0,2.9438,87200.0,INLAND
-119.05,35.34,17.0,2387.0,437.0,1204.0,423.0,4.0529,106200.0,INLAND
-119.07,35.35,24.0,4119.0,865.0,1294.0,879.0,2.4123,86200.0,INLAND
-119.07,35.34,16.0,4201.0,786.0,1667.0,724.0,4.8839,134100.0,INLAND
-119.12,35.33,4.0,8574.0,1489.0,4250.0,1444.0,5.1036,103400.0,INLAND
-119.1,35.35,5.0,4597.0,1071.0,1916.0,870.0,4.0327,131000.0,INLAND
-119.08,35.34,18.0,4070.0,512.0,1580.0,540.0,10.5941,245800.0,INLAND
-119.08,35.35,20.0,892.0,129.0,331.0,135.0,7.1837,176300.0,INLAND
-119.09,35.35,14.0,2113.0,256.0,842.0,265.0,8.5325,224100.0,INLAND
-119.08,35.34,16.0,1535.0,238.0,768.0,236.0,5.4449,118500.0,INLAND
-119.08,35.34,15.0,1474.0,235.0,768.0,238.0,4.1528,130100.0,INLAND
-119.1,35.33,4.0,6640.0,898.0,3121.0,902.0,6.759,170300.0,INLAND
-119.08,35.32,8.0,11609.0,2141.0,5696.0,2100.0,5.0012,106300.0,INLAND
-119.09,35.33,9.0,7085.0,1148.0,3084.0,1052.0,4.997,142900.0,INLAND
-119.06,35.32,15.0,3944.0,746.0,2355.0,757.0,3.569,70700.0,INLAND
-119.07,35.33,13.0,9027.0,1901.0,4870.0,1797.0,3.406,100700.0,INLAND
-119.06,35.33,14.0,5264.0,1064.0,3278.0,1049.0,3.8117,82800.0,INLAND
-119.02,35.34,34.0,2861.0,510.0,1375.0,486.0,3.4286,71400.0,INLAND
-119.02,35.33,26.0,3691.0,826.0,2072.0,827.0,2.1553,84700.0,INLAND
-119.03,35.33,21.0,3057.0,698.0,1627.0,680.0,2.7083,84700.0,INLAND
-119.03,35.34,34.0,2221.0,436.0,1131.0,408.0,3.0486,68500.0,INLAND
-119.01,35.34,36.0,973.0,219.0,613.0,187.0,1.5625,46700.0,INLAND
-119.01,35.33,42.0,1120.0,255.0,677.0,213.0,1.5429,39400.0,INLAND
-119.0,35.33,35.0,991.0,221.0,620.0,207.0,1.9417,53800.0,INLAND
-119.01,35.33,32.0,3068.0,628.0,1897.0,607.0,2.4234,63700.0,INLAND
-119.02,35.33,35.0,2053.0,412.0,1193.0,387.0,2.75,65800.0,INLAND
-119.02,35.34,35.0,1650.0,390.0,1145.0,343.0,1.5357,56500.0,INLAND
-118.99,35.32,35.0,1576.0,405.0,870.0,282.0,1.6575,59500.0,INLAND
-118.99,35.3,33.0,2248.0,434.0,1461.0,405.0,2.9402,56200.0,INLAND
-119.0,35.31,37.0,1337.0,275.0,767.0,273.0,1.6522,53300.0,INLAND
-119.09,35.3,3.0,2821.0,519.0,1353.0,495.0,3.6852,109800.0,INLAND
-119.04,35.32,20.0,37.0,11.0,34.0,8.0,1.2,50000.0,INLAND
-119.05,35.32,11.0,7035.0,1455.0,3525.0,1387.0,3.4827,93600.0,INLAND
-119.04,35.31,11.0,2161.0,371.0,1267.0,388.0,4.1957,92700.0,INLAND
-119.03,35.32,12.0,2721.0,549.0,1294.0,523.0,2.5575,100200.0,INLAND
-119.02,35.32,14.0,2927.0,588.0,1821.0,561.0,3.3529,82600.0,INLAND
-119.05,35.3,9.0,10822.0,1994.0,6241.0,1906.0,4.0631,88200.0,INLAND
-119.03,35.3,10.0,829.0,146.0,447.0,173.0,4.1484,102900.0,INLAND
-119.02,35.3,10.0,7397.0,1369.0,4611.0,1310.0,3.6369,81600.0,INLAND
-119.01,35.32,23.0,4870.0,965.0,2717.0,928.0,2.596,70000.0,INLAND
-119.01,35.31,19.0,7092.0,1517.0,4101.0,1436.0,2.1006,74800.0,INLAND
-119.01,35.3,7.0,8596.0,1597.0,4893.0,1520.0,3.9054,80900.0,INLAND
-119.07,35.27,25.0,3081.0,635.0,1830.0,591.0,2.5804,97900.0,INLAND
-119.13,35.22,5.0,6268.0,1003.0,3269.0,980.0,5.1457,118200.0,INLAND
-119.01,35.24,6.0,80.0,16.0,66.0,21.0,3.125,65000.0,INLAND
-119.01,35.28,10.0,7011.0,1453.0,4163.0,1307.0,2.7659,77500.0,INLAND
-118.99,35.24,40.0,282.0,59.0,213.0,71.0,2.35,91700.0,INLAND
-118.99,35.27,32.0,444.0,102.0,242.0,87.0,1.1528,150000.0,INLAND
-118.93,34.82,24.0,806.0,168.0,323.0,136.0,3.5,113900.0,INLAND
-118.95,34.83,18.0,3278.0,762.0,1338.0,550.0,2.9891,116500.0,INLAND
-118.95,34.81,30.0,2817.0,604.0,1089.0,412.0,3.1364,123500.0,INLAND
-119.15,34.83,6.0,8733.0,1600.0,2006.0,736.0,4.5724,168400.0,INLAND
-119.16,34.95,14.0,4054.0,787.0,1581.0,579.0,3.0882,148200.0,INLAND
-118.93,34.82,8.0,508.0,111.0,229.0,84.0,4.0332,128300.0,INLAND
-119.4,35.06,21.0,2213.0,458.0,1250.0,440.0,2.9187,52100.0,INLAND
-119.45,35.07,45.0,973.0,183.0,500.0,177.0,2.6389,30000.0,INLAND
-119.42,35.19,26.0,890.0,172.0,483.0,170.0,4.15,68200.0,INLAND
-119.5,35.27,23.0,3827.0,696.0,1993.0,617.0,3.0742,57900.0,INLAND
-119.48,35.17,36.0,116.0,20.0,39.0,18.0,3.125,37500.0,INLAND
-119.45,35.16,34.0,3437.0,696.0,1783.0,608.0,2.3912,52900.0,INLAND
-119.46,35.17,40.0,4164.0,812.0,1998.0,773.0,2.8323,50800.0,INLAND
-119.46,35.14,30.0,2943.0,,1565.0,584.0,2.5313,45800.0,INLAND
-119.47,35.14,19.0,4190.0,690.0,1973.0,702.0,3.9929,88300.0,INLAND
-119.45,35.15,33.0,5050.0,964.0,2293.0,919.0,3.1592,75400.0,INLAND
-119.45,35.13,34.0,1440.0,309.0,808.0,294.0,2.3013,26600.0,INLAND
-119.46,35.13,46.0,2745.0,543.0,1423.0,482.0,2.1955,26900.0,INLAND
-119.47,35.13,44.0,4599.0,877.0,2140.0,831.0,2.9952,63800.0,INLAND
-119.47,35.4,32.0,2167.0,421.0,1301.0,394.0,1.9718,69800.0,INLAND
-119.42,35.4,24.0,2585.0,480.0,1442.0,424.0,2.8452,104700.0,INLAND
-119.12,35.41,12.0,5589.0,941.0,3018.0,917.0,4.4561,96900.0,INLAND
-119.11,35.39,22.0,984.0,176.0,451.0,170.0,3.25,88900.0,INLAND
-119.12,35.39,13.0,1264.0,202.0,552.0,187.0,4.5903,94300.0,INLAND
-119.19,35.41,12.0,2835.0,471.0,1399.0,413.0,4.4125,149000.0,INLAND
-119.2,35.37,6.0,7383.0,1095.0,3415.0,1059.0,5.3119,157300.0,INLAND
-119.12,35.38,18.0,1521.0,269.0,706.0,279.0,4.4196,121000.0,INLAND
-119.11,35.38,37.0,2044.0,394.0,894.0,359.0,2.9453,82800.0,INLAND
-119.12,35.37,13.0,4527.0,713.0,2170.0,671.0,4.8266,146200.0,INLAND
-119.18,35.5,36.0,1253.0,259.0,932.0,249.0,2.1635,110400.0,INLAND
-119.28,35.52,36.0,786.0,194.0,573.0,134.0,2.2321,37500.0,INLAND
-119.27,35.49,39.0,2649.0,572.0,1815.0,547.0,2.3533,65400.0,INLAND
-119.26,35.5,38.0,2536.0,409.0,1133.0,430.0,4.2375,78600.0,INLAND
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-123.07,39.12,24.0,1098.0,193.0,353.0,145.0,3.8333,92600.0,<1H OCEAN
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-122.99,39.02,14.0,1582.0,301.0,851.0,273.0,3.45,164100.0,<1H OCEAN
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-122.92,38.97,20.0,2067.0,384.0,904.0,333.0,2.9934,134200.0,<1H OCEAN
-122.89,38.93,20.0,1214.0,247.0,504.0,223.0,2.7188,105700.0,<1H OCEAN
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-122.83,38.89,11.0,640.0,134.0,268.0,90.0,3.4514,100000.0,<1H OCEAN
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-122.74,38.83,12.0,4515.0,909.0,1554.0,528.0,3.3531,90800.0,<1H OCEAN
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-120.09,39.92,19.0,2335.0,518.0,1028.0,383.0,1.7267,60700.0,INLAND
-118.27,34.27,27.0,5205.0,859.0,2363.0,888.0,6.1946,276100.0,<1H OCEAN
-118.28,34.26,32.0,1079.0,207.0,486.0,167.0,4.9833,213000.0,<1H OCEAN
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-118.28,34.25,35.0,2045.0,450.0,1166.0,407.0,3.5214,197600.0,<1H OCEAN
-118.28,34.25,29.0,2559.0,,1886.0,769.0,2.6036,162100.0,<1H OCEAN
-118.29,34.25,19.0,1988.0,594.0,1399.0,527.0,2.4727,175000.0,<1H OCEAN
-118.29,34.25,8.0,5568.0,1514.0,3565.0,1374.0,3.0795,161500.0,<1H OCEAN
-118.27,34.25,37.0,2489.0,454.0,1215.0,431.0,5.0234,257600.0,<1H OCEAN
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