Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'
October 1, 2018
R code to fit models with and without sample weights and simulation code
Citation Information
Publication Year | 2018 |
---|---|
Title | Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs' |
DOI | 10.5066/F7P55MPV |
Authors | Kathryn M Irvine, Thomas Rodhouse, Wilson J Wright, Anthony R. Olsen |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Northern Rocky Mountain Science Center (NOROCK) Headquarters |
Related
Occupancy modeling species–environment relationships with non‐ignorable survey designs
Statistical models supporting inferences about species occurrence patterns in relation to environmental gradients are fundamental to ecology and conservation biology. A common implicit assumption is that the sampling design is ignorable and does not need to be formally accounted for in analyses. The analyst assumes data are representative of the desired population and statistical...
Authors
Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Anthony R. Olsen
Related
Occupancy modeling species–environment relationships with non‐ignorable survey designs
Statistical models supporting inferences about species occurrence patterns in relation to environmental gradients are fundamental to ecology and conservation biology. A common implicit assumption is that the sampling design is ignorable and does not need to be formally accounted for in analyses. The analyst assumes data are representative of the desired population and statistical...
Authors
Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Anthony R. Olsen