color category SpatialGridDataFrame SpatialPolygonsDataFrame Corine Land Cover Global Land Cover 2000
Patrick Giraudoux a ?crit :
Renaud Lancelot a ?crit :
Dear Patrick, I recently met this issue. I finally used image() on the SpatialGridDataFrame, defining the appropriate colors using the col argument (?tonnant, non ;-)). I have defined the legend using legend(), and I used split.screen() to arrange the plots.
It was my point. In this case, you must have defined many breakpoints (to create appropriate intervals for each code) to get all the codes at the right color, which is quite tedious, isn't it ? I wonder if this can be simplified. Ideally importing a color table. Maybe a new function to write (thus to put on the many pending "to do").
PS: by the way if you connect to http://pagesperso-orange.fr/giraudoux/, you can download an unofficial package 'pgirbric' (when I am sure things work well I move them to pgirmess). I have written some functions (based on splancs and sp) to extract info from rasters using buffer centred on points or polygons. A quite common business in my field of ecology but with no programmes (to my knowledge) doing it easy. The latest one are on the development version (I had quite busy Xmas vacation playing on Alevolar echinococcosis distribution in China). Cheers, Patrick