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Worked Examples

Use covariance of goal scores to cluster OHI regions, similar to how covariance of stock prices produced this visualization of stock market structure: scikit stocks clustering Scikits has many clustering algorithms and interactive graphs could be constructed using d3 force-directed graph.

Use principles of provenance to scrape READMEs for layer prep information, consolidate metadata and generate useful visualizations. See Paths.

As open-source alternative to ArcGIS, provide basic spatial operations within toolbox necessary for data layer preparation on arbitrary regions, such as a zonal average. Probably going to use PostGIS 2.0 now with raster capabilities (basics, reference), such as ability to intersect polygons with large rasters as needed for Cumulative Impacts 1km global rasters.

GitHub Features for OHI to implement like Gantt charts, GeoJSON mapping, and CSV viewing

Hadley's Advanced R Development guide: functional programming, devtools, testthat and other tips for programming and R package development.
Software Carpentry: R bootcamp with unit tests using R testthat package, markdown for reproducible science, git intro and more.