> Does anyone have any suggestions on sampling a raster (NLCD land cover
> map, 30 m res) using circular buffers centered on 100+ sample points?
You can do:
library(raster)
r <- raster('filename')
extract(r, points, buffer=250)
where points is a two column matrix (x,y), or (inherits from) a
S
Hi everyone,
Does anyone have any suggestions on sampling a raster (NLCD land cover
map, 30 m res) using circular buffers centered on 100+ sample points?
The NLCD map has classifications such as high density urban, medium
density urban, crop, etc. The goal is to produce a data set with the
perce
