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Crash Course: Programming for Geospatial Analysis (Robert Hijmans, UC Davis)
Crash Course: Programming for Geospatial Analysis (Robert Hijmans, UC Davis)

During the geospatial community of practice meeting, we discussed that there’s an urgent need to train ourselves on computer programming – especially on Python. I asked Robert Hijmans, our honorary CSI member (and the creator of WorldClim, GADM, and DIVA-GIS) to give a short crash course to our members, and he gratefully agreed!

In this 1.5-hr session, Robert presented us a list of compelling reasons to use programming approach to do the geospatial analysis work (not just using a point-and-click GIS software) and showed us how Python’s coding style is differ from (or similar to) other languages.

Additionally, Robert also shared his passion on R, another language wildly popular in the data analytics. You can learn more about how R is being used for spatial analysis at Spatial Data Analysis and Modeling with R, Robert’s another personal project.