2000 random points for statistical modeling

2000 random points across the three study sub-areas were selected for statistical modeling in binomial generalized linear mixed models. These points have digital elevation model (DEM) variables (elevation, slope, aspect, potential insolation in four seasons) and vegetation classifications for 1972 a...

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Bibliographic Details
Main Authors: Rinas, Christina L., Dial, Roman J., Sullivan, Patrick F., Smeltz, T. Scott, Tobin, S. Carl, Loso, Michael, Geck, Jason E.
Format: Dataset
Language:unknown
Published: 2017
Subjects:
alpine
climate change
forecast modeling
thermal niche modeling
plant-climate interactions
range expansion
shrubs
tundra
Tundra
Alaska
Online Access:http://hdl.handle.net/10255/dryad.134805
https://doi.org/10.5061/dryad.dc863/2
Description
Summary:2000 random points across the three study sub-areas were selected for statistical modeling in binomial generalized linear mixed models. These points have digital elevation model (DEM) variables (elevation, slope, aspect, potential insolation in four seasons) and vegetation classifications for 1972 and 2012.

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