Open dlebauer opened 9 years ago
@sidewallme
Download each fof the 19 BioClim variables listed here http://www.worldclim.org/bioclim using the getData function of the raster package
getData
other variables: http://www.worldclim.org/formats
library(raster) x <- getData('worldclim', var='tmin', res=0.5, lon=5, lat=45)
note that bioclim are long-term climate means; also would be useful to find precip. and temp during harvest year (e.g. 'year' field in miscanthus.csv from #2).
Try out this script for downloading dayment: https://bitbucket.org/khufkens/daymetr
@sidewallme
Download each fof the 19 BioClim variables listed here http://www.worldclim.org/bioclim using the
getData
function of the raster packageother variables: http://www.worldclim.org/formats
note that bioclim are long-term climate means; also would be useful to find precip. and temp during harvest year (e.g. 'year' field in miscanthus.csv from #2).
Try out this script for downloading dayment: https://bitbucket.org/khufkens/daymetr