I am looking for some help with my R programming Assignment with 2 tasks.
TASK 1
1)
Simulate
a matrix of data using R (in effect an image of numbers where each cell in the matrix has a number on the numerical scale of 0-255 (8 bit data))
2) Map the simulated data using mapping tools
3) Classify the image into 8-10 classes
4) Document the algorithm/method used
5) Include illustrations to accompany your methodology
6) Write up as a short report that provides as much detail as possible, is spell checked and formatted, and includes any references used.
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TASK 2
1. Download a small DTM/DEM of Findhorn Bay area from EDINA Digimap (www.edina.ac.uk) – the map tiles you download must be in
ASCII
format (.asc). NOTE: you will need to register for EDINA – it may take 24hrs.
2. You will need to register to use the EDINA Digimap service (up to 24 hours)
3. Read the .asc file into R
4. Plot the DTM/DEM
5. Reclassify the DTM so that you can
simulate
changes to sea level – and
in effect
the inundation of water onto the land
6. Add a title and box as well as a North arrow so that you have a map output
7. Document the algorithm/method used
8. Write up (as before)
9. As an additional small task – I have placed a DTM derived from aerial imagery captured by a DJI Phantom 3 UAV (https://www.dji.com/phantom-3-standard) and processed into a 3D model using Pix4D softcopy photogrammetry software: (https://pix4d.com/).
See if you can display the 3D model (DTM) using R. (Data Files in COASTAL FOLDER)