Big-data spatio-temporal analyses using open source GIS software

Over the past decade there has been an explosion in the availability of geographic data for environmental research, for both static and temporal analyses. Examples are remotely sensed data or large biodiversity databases. We are now able to tackle key ecological and environmental questions with unprecedented rigor and generality. Leveraging these data streams requires new tools and increasingly complex workflows. The course introduces a set of free and open source software (BASH, AWK ,GDAL, GRASS, R, Python, PKTOOLS, OFGT) for performing spatio-temporal analyses of big environmental data in Linux environment. We also introduce multi-core, cloud and cluster  computation procedures.