masters-thesis's Introduction
masters-thesis's People
masters-thesis's Issues
Challenges?
Post challenges (at least every week) and ideas on how to solve them
Sequential vs Parallelization
AOIs:
- WDPA polygons (7495)
- simplified WDPA polygons (4722)
- grid cells (~10/20K)
Rasters:
- worldpop (1 km resolution)
- high resolution rasters (create a demo raster)
Tests:
- sequential
- parallelization (8 cores)
- parallelization (16 cores)
Functions:
- terra::zonal
- terra::extract
- exactextractr::exact_extract
Results:
- save csv for time taken processing all aois at once
- several plots
bubble plots
Timeline
Date | Milestone | Details |
---|---|---|
Aug 15 | First draft | full texts, grammar corrections |
Aug 18 | Meeting with Prof. | 13:00 - 14:00 (zoom) |
Aug 31 | Second draft | apply feedbacks, citations, densify references, annexes |
Sep 10 | Final version | paraphrasing, rephrasing, check plagiarisms |
Sep 13 | Submission | soft copy + hard copy |
Create factor plot
Create factor plots for all the functions - in particular
output tabular structure
Think of how final table/chart should look like. It should help users to choose the most efficient and effective combination of R tools and techiques to process their resources for corresponding polygons.
Dissertation structure - Final
outlines
story (abstract to conclusion)
graphics
codes
references
Append here in this issue.
spatVector vs sf - vector operations
AOIs:
- wdpa polygons
- simplified wdpa polygons
- grid cells
Target vector:
- ecoregions
Functions:
- terra::crop/intersect
- sf::st_intersect
Results:
- save time elapsed as csv
- several plots
track cpu and memory usage
% of CPU and memory usage
Variables
- populaton count (raster)
- ecoregions (vector)
- track for one hour (60601)
- plot the graphs
mapme.biodiversity package and processing
Prepare the results using mapme.biodiversity package and process following datasets:
- SRTM Elevation
- Terrain Ruggedness Index using SRTM DEMs
- population count
- Accessibility
- Mangrove Extent
- Terrestrial Ecoregions of the World
Study Areas?
- WDPA polygons
- Simplified WDPA polygons
- Fishnets
Engine choices?
- terra zonal
- terra extract
- exact extract
Line charts and accuracy check
Create line plots for these combinations:
0.01 raster for 1000, 5000, and 10000 sqkm fishnets
0.001 raster for 1000, 5000, and 10000 sqkm fishnets
Also, study the accuracy of the results obtained from this combination:
population 2020 raster for allPAs (zonal, extract, and exact)
Use sequential (0) and parallel (1-16 cores) approach
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