

Glossary
- Explorative spatial visualization:
- This is a purely visual approach, in visualization as
well as in interpretation. Visualization is
a qualitative and explorative method to explore new data, to identify outliers and to
formulate hypothesis.
- Geometric SA:
- The geometric approach is focused on geometric criteria (location of objects and
attributes), and has mainly a descriptive effect. It cannot be used for hypothesis testing.
Some examples using geometric SA include: the analysis of point distributions, network
analysis (route calculation, shortest path), polygon overlay, analysis of distance relations,
shape analysis, or the calculation of slope and exposure in elevation models.
- Geostatistical SA:
- The geostatistical approach refers to spatially distributed (random) variables. This
approach uses statistical methods for description but also for hypothesis testing. Some
examples using geostatistical SA include: multivariate statistics, spatial correlation analysis
(spatial autocorrelation), and geostatistical interpretation.