This talk will showcase what is possible with the JuliaGeo related packages, with the aim to get you started if you want to do geospatial analysis in Julia. The foundation here lies in solid, easy to install wrappers to established OSGeo (Open Source Geospatial Foundation) projects such GDAL (Geospatial Data Abstraction Library), GEOS (Geometry Engine Open Source) and PROJ (coordinate transformation software library). On top of this, inspired by the Python ecosystem, we implemented a GeoInterface, to make sure the different geometry representations can talk to each other. From this basis some examples are given of customized processing that could not be done as efficiently in Python.
