- sfc_polygon (when does terra play well with sf?)
- better explain st_union
- make all data available somewhere
- remove the worldclim data thing that is way too big
- add a raster exercice
- exercice can be slightly more complex
- reduce the number of different datasets and the different naming schemes
- Better explain exercice 5 with climate niche concept better explain. Say we want a histogram.
- tall about the different sf class
- talk about the SpatRaster and SpatVector class
Course on using R for spatial tasks
###Overview of spatial data in R
-
More and earlier and easier exercices. Need something that focuses on projections and something on simple spatial operations.
-
Simplify code and possibly remove loops
-
Comment everything
-
Better explain the writeOGR part
-
Better explain to which packages the different functions belong. Maybe list the different functions used to get some Data (occ_search, getData, etc.)
-
Maybe better position the part about building a SpatialPolygons and refer to the help file
-
Better explain pipes with an example
-
Maybe explain the structure of spatial objects earlier
-
Explain that spatial objects can be indexed just like matrices and data.frames
-
Better explain the argument width in gBuffer with an example for latlon and projected coordinates
-
Maybe put the over as the first operation in a simple case and show the output and then use it in the more complex example
-
Better explain and compare the use of epsg in projections
-
Simplify the bicknell example by removing the NA part and plotting the shp over the raster
-
Explain stacks vs bricks
-
Find a better example of rasterizing a polygon
-
Exemple with sf and the tidyverse
-
clean the mapping part and talk about OpenStreetMap
-
Add an exercice of map creation with an interactively made polygon
-
Complex examples should be numbered and better explained at each steps