https://doi.org/10.7490/f1000research.1115938.1
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Smith AM, Cropper Jr. WP and Moulton M. A comparison of machine learning methods to classify Chukar Partridge (Alectoris chukar) establishment patterns in Washington state  [version 1; not peer reviewed]. F1000Research 2018, 7:1261 (poster) (https://doi.org/10.7490/f1000research.1115938.1)
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A comparison of machine learning methods to classify Chukar Partridge (Alectoris chukar) establishment patterns in Washington state 

Austin Matthew Smith1, Wendell P. Cropper Jr., Michael Moulton
Author Affiliations
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Published 12 Aug 2018

A comparison of machine learning methods to classify Chukar Partridge (Alectoris chukar) establishment patterns in Washington state 

[version 1; not peer reviewed]

Austin Matthew Smith1, Wendell P. Cropper Jr., Michael Moulton
Author Affiliations
1 Graduate School of University of Florida, USA
Presented at
103rd Ecological Society Of America (ESA) Annual Meeting 2018
Abstract
Competing Interests

No competing interests were disclosed

Keywords
machine learning, random forest, principal component analysis, habitat suitability, Alectoris Chukar
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