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...
Main Authors: | , , , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2017
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.dc863/2 http://datadryad.org/resource/doi:10.5061/dryad.dc863/2 |
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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