Hi Jonathan,
for what I understand from your question the main issue is the resizing of the
pixels to a larger size. The solution below is 1 not very performant and 2 not
fully memory save as polygonToRaster is used again, but maybe you find
something usefull.
Matteo
# largest area function (
Hi Jonathan,
With rasterToPolygons, the dissolve = T argument should do what you
want in terms of merging common value polygons, provided you have
rgeos installed.
I also use the a system call to gdal_polygonize.py, which seems to
help for larger polygons.
runGdalPolygonize <- function(inraster,
R-sig-geo'ers:
Continuing on my quest to *precisely* reproject/resize a categorical raster
where the output cell is the category which has the maximum areal cover of
that cell (this is not the same as nearest neighbor), it is looking more
and more like the solution is to first convert a class rast
