Ridge plots of ridges

A collection of Python packages for geospatial analysis with binder-ready notebook examples

Course materials for: Geospatial Data Science

D-Lab's 4-hour introduction to working with geospatial data in R. Learn how to import, visualize, and analyze geospatial data in R.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

R code to produce Demographic and Health Survey Indicators

Climate Opinion Maps

RMarkdown files for creating the GCDv3 Analysis web page

paleofire package