- Spatial analysis methods using a strong statistical/mathematical framework especially focused on the quality of formalism of the method;
- Geovisualisation, with a major accent on visual analytics and computational data mining techniques focused on high-dimensional attributes;
- Pattern recognition and modeling with special emphasis on data-mining approaches, including machine learning.
- Spatial Data Sets which can be used not only in GIS (e.g. R, Python, MATLAB)