In this course, you will deepen your knowledge of spatial analysis techniques, while at the same time exploring some of the fundamental Geoinformatics topics — such as effects of scale, density estimation, topological problems, power law distributions — in more detail. Analysis techniques introduced will place an emphasis on geometrical problems and will include advanced point pattern analysis (clustering, density estimation), localized spatial analysis, network analysis (network measures, shortest path problems), and delineation of polygons from point sets.

All techniques introduced in the theory sessions will be also be demonstrated in the R environment for statistical computing and spatial analysis, along with short exercises. This will then provide the basis for the term project carried out in the second half of the semester.