Description/Abstract
This data publication contains approximately 44.3 million polygons derived from multi-scale object-oriented image analysis attributed with climatic, topographic, soil, vegetation, and disturbance variables. The polygons provide continuous coverage for the entire state of Idaho, USA. Additionally, this publication contains the parameters for lasso logistic regression models generated to predict the probability of plant species occurrence using the variables attributed to each polygon.
Discipline/Subject
GEM3 Component
GEM3 Keywords
Other Keywords
- forage species
- object-oriented segmentation
- lasso logistic regression
- idaho
- biota
- multiple species
- plants
- vegetation
- object-oriented segmentation
- lasso logistic regression
- idaho
- biota
- multiple species
- plants
- vegetation
External Affiliate(s)
Make available to
the public
Approved for public viewing
Yes
Data Available
WF submission id
162
Year Reported
Yr 3 (2020-21)