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cboettig / rgbif_mcglinn

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Freezing temperatures #2

Open sckott opened 10 years ago

sckott commented 10 years ago

@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 from dismo?

dmcglinn commented 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.

sckott commented 10 years ago

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

dmcglinn commented 10 years ago

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

sckott commented 10 years ago

Thanks Dan!