Data analysis methods in Astronomy and the Geo-Sciences are often surprisingly similar: they deal with information sources that include both vector and raster streams in phases thatinclude data integration, modelling and visualization.
As a specific example, similar "Big Data" methodologies are relevant for both Astro-informatics, Geographic Information Systems and Remote Sensing [References?].
We intend this repository as a collection of extensively documented yet executable notebooks providing parallel examples of data analytics in separate domains centering on astronomy and the geo-sciences.
Our objetive is helping the astronomical and the geoscience communities interchange ideas and methodologies to identify and exploit the possibilities for collaboration and cross-pollination.
GitHub now supports Jupyter notebooks. To contribute to the repository, please feel free to fork it and let us know.