Open sckott opened 10 years ago
@sckott actually we did use the bioclim variables which are provided by WorldClim (hopefully this is clear on Dryad). So the data in dismo
should be appropriate. The link to the specific file we used is:
http://biogeo.ucdavis.edu/data/climate/worldclim/1_4/grid/cur/bio_5m_bil.zip
which is at the 5-arc-minute resolution (the finest scale res). I'm guessing the provided with dismo
is at a coarser resolution for size reasons. To be honest I wasn't sure what the best spatial resolution of the bioclim data was best for our purposes so we just went for the finest scale - it would actually be very interesting if answers changed a lot with different spatial resolutions of interpolation of climate - but I doubt they will.
Cool, sounds good. I think we may just want to download the data within R as it's not too clear what's being used in dismo
just as a heads up the 5 min arc is a decently big file
On Thu, Jan 16, 2014 at 1:56 PM, Scott Chamberlain <notifications@github.com
wrote:
Cool, sounds good. I think we may just want to download the data within R as it's not too clear what's being used in dismo
— Reply to this email directly or view it on GitHubhttps://github.com/ropensci/rgbif_mcglinn/issues/2#issuecomment-32546067 .
Daniel J. McGlinn, PhD Postdoctoral Researcher Utah State University Department of Biology, BNR 132 Logan, UT 84322-5305 http://mcglinn.web.unc.edu/ cell: 405-612-1780
Thanks Dan!
@dmcglinn Not sure how to get this data. The
dismo
R package has bioclim data . Is that the same as Worldclim data (as described in your paper). Can we just use the data fromdismo
?