Geospatial Machine Learning: Predicting fire risk in San Francisco 

Learn how to estimate a geospatial risk predictive model in R. Using open data from San Francisco, we learn new tools for helping fire fighters deploy their limited resources; perform spatial cross-validation; and build novel geospatial machine learning models in R.
This workshop comes from Dr. Steif's new book 'Public Policy Analytics: Code & Context for Data Science in Government on CRC Press - urbanspatial.github.io/Public...
The RMD for this workshop can be found at this Github repo - github.com/urbanSpatial/Predi...
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