Multivariate Vegetation Mapping -- Code and Data

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Citeable URL: https://ir.library.oregonstate.edu/concern/datasets/6969z6428

Attribute Name	Values
Alternative Title	Supplemental Files for Henderson_etal_2019
Creator	Henderson, Emilie B.
Abstract	This data set contains RCode designed for mapping correlated vegetation summary variables via univariate (modified random forest regression) and multivariate (random forest nearest neighbor) methods. It also contains a small vegetation plot dataset to illustrate the type of information needed to support such an analysis.
Contributor	Bell, David M. Gregory, Matthew J.
License	Attribution 4.0 (CC BY 4.0)
Resource Type	Dataset
DOI	10.7267/6969z6428
Date Issued	2019
Citation	Henderson, E. B. (2019) Multivariate Vegetation Mapping -- Code and Data (Version 1) [Dataset]. Oregon State University. https://doi.org/10.7267/6969z6428
Non-Academic Affiliation	Oregon State University. Institute for Natural Resources
Rights Statement	In Copyright
Related Items	This dataset is supplemental information for the article: Henderson, Emilie, David M. Bell and Matthew J. Gregory, 2019. Vegetation mapping to support greater sage-grouse habitat monitoring and management: multi- or univariate approach? Ecosphere 10(8):e02838. https://doi.org/10.1002/ecs2.2838
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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