- This is not a package.
- However the steps to building manipulating and formatting geospatial data structures, including topo- and geo-json and .shp shapefiles, can be arduous. 🗃️
- This was motivation enough to document progress on common or innovative design patterns on the mamipulation of such data.
- Documenting the steps and functions to build, tidy, merge and work with geo spatial data structures. Less of a package more or a stream of consciousness.
- We take a shapefile (the statisical areas it describes are not important) and take the union to construst our bounding outline.
- We sample points belonging to PostCode stubs, Bt1 etc. - UK postal codes, akin to american zip codes.
- We construct a voroni tesselation of all these points and the take the union grouped by the union of all those relating to each Pc stub.
- Thereby by sampling only single digit points per Pc stub, we recreate shapefiles of reasonable quality to represent in chloropeth mappings.
- This technique is also at an extreme advantage aesthetically over the inital voroni tesselation simply using PC stub centroids
AG