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: | , , , , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2017
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.dc863/2 http://datadryad.org/resource/doi:10.5061/dryad.dc863/2 |
id |
ftdatacite:10.5061/dryad.dc863/2 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.dc863/2 2023-05-15T18:40:07+02:00 2000 random points for statistical modeling Rinas, Christina L. Dial, Roman J. Sullivan, Patrick F. Smeltz, T. Scott Tobin, S. Carl Loso, Michael Geck, Jason E. 2017 https://dx.doi.org/10.5061/dryad.dc863/2 http://datadryad.org/resource/doi:10.5061/dryad.dc863/2 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.dc863 http://creativecommons.org/publicdomain/zero/1.0 CC0 alpine climate change forecast modeling thermal niche modeling plant-climate interactions range expansion shrubs tundra Chugach Mountains Alaska North America Alnus Salix dataset Dataset DataFile 2017 ftdatacite https://doi.org/10.5061/dryad.dc863/2 https://doi.org/10.5061/dryad.dc863 2021-11-05T12:55:41Z 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. Dataset Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
alpine climate change forecast modeling thermal niche modeling plant-climate interactions range expansion shrubs tundra Chugach Mountains Alaska North America Alnus Salix |
spellingShingle |
alpine climate change forecast modeling thermal niche modeling plant-climate interactions range expansion shrubs tundra Chugach Mountains Alaska North America Alnus Salix Rinas, Christina L. Dial, Roman J. Sullivan, Patrick F. Smeltz, T. Scott Tobin, S. Carl Loso, Michael Geck, Jason E. 2000 random points for statistical modeling |
topic_facet |
alpine climate change forecast modeling thermal niche modeling plant-climate interactions range expansion shrubs tundra Chugach Mountains Alaska North America Alnus Salix |
description |
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. |
format |
Dataset |
author |
Rinas, Christina L. Dial, Roman J. Sullivan, Patrick F. Smeltz, T. Scott Tobin, S. Carl Loso, Michael Geck, Jason E. |
author_facet |
Rinas, Christina L. Dial, Roman J. Sullivan, Patrick F. Smeltz, T. Scott Tobin, S. Carl Loso, Michael Geck, Jason E. |
author_sort |
Rinas, Christina L. |
title |
2000 random points for statistical modeling |
title_short |
2000 random points for statistical modeling |
title_full |
2000 random points for statistical modeling |
title_fullStr |
2000 random points for statistical modeling |
title_full_unstemmed |
2000 random points for statistical modeling |
title_sort |
2000 random points for statistical modeling |
publisher |
Dryad Digital Repository |
publishDate |
2017 |
url |
https://dx.doi.org/10.5061/dryad.dc863/2 http://datadryad.org/resource/doi:10.5061/dryad.dc863/2 |
genre |
Tundra Alaska |
genre_facet |
Tundra Alaska |
op_relation |
https://dx.doi.org/10.5061/dryad.dc863 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.dc863/2 https://doi.org/10.5061/dryad.dc863 |
_version_ |
1766229292568543232 |