Description
The file 'lhs_data.csv' contains data necessary for logistic regression evaluating effects of grazing level (relative grazing index) and timing on the probability of an allotment failing one or more Land Health Standard (LHS) the previous year (Monroe et al. 2017). Relative predictive ability of models are then compared with a 10-fold cross-validation score.
Literature Cited: Monroe, A. P., C. L. Aldridge, T. J. Assal, K. E. Veblen, D. A. Pyke, and M. L. Casazza. 2017. Patterns in Greater Sage-grouse Population Dynamics Correspond with Public Grazing Records at Broad Scales. Ecological Applications. doi: 10.1002/eap.1512.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Digital Data | XML | Landing page for access to the data | Open resource |
| Original Metadata | XML | The metadata original format | Open resource |