»Geodata processing using Python and JupyterHub«
2019-06-26, 14:45–15:15, Room 2

In this talk, it is shown how to use JupyterHub & Python to process geodata

Geospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial component, of various attributes, and sometimes of a time reference (where, what, and when). Efficient processing and visualization of small to large-scale spatial data is a challenging task.

This talk describes how to process and visualize geospatial vector and raster data using Python and the Jupyter Notebook. There are numerous modules available which help using geospatial data in using low- and high-level interfaces. We will look at shapely, which is used for manipulation and analysis of geometric objects. Then we go further to Fiona – a module which handles geospatial vector data in a very pythonic way. We move on to raster data processing using the rasterio module and briefly look at the pyproj module which is used for transforming spatial reference systems. After that we look at GeoPandas which is basically an extended pandas module with support for geodata. At the end we will see how maps are created using the cartopy and folium modules.

At the end of the talk some examples are shown how to use deep learning for raster analysis using a GPU cluster.