Spatial vs Non-Spatial Machine Learning

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05-29-2018 12:30 PM
DawnWright
Esri Regular Contributor
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See this important blog post by Orhun Aydin‌ of Esri's Spatial Statistics Team where he describes different means of integrating space into scientific problem solving, with an eye toward generic (non-spatial) machine learning, spatial machine learning, and non-spatial machine learning with geoenriched predictors.

The Science of Where in a Warming Planet: Spatial vs Non-Spatial Machine Learning

About the Author
Dawn was appointed Chief Scientist of Esri in October 2011 after 17 years as a professor of geography and oceanography at Oregon State University. As Esri Chief Scientist, she reports directly to Esri CEO Jack Dangermond with a mission to strengthen the scientific foundation for Esri software and services, while representing Esri to the national and international scientific community. Dawn maintains an affiliated faculty appointment as Professor of Geography and Oceanography at Oregon State. Follow her on Twitter @deepseadawn. More info. also at http://esriurl.com/scicomm and http://dusk.geo.orst.edu.