ABSTRACT
This chapter makes the case for geovisualisation (GeoViz) as a vital ally in the struggle to address the ever-increasing data complexity that shapes contemporary geographical analysis. And since GeoViz is promoted here as an approach for discovery science, we look at the process by which GeoViz is applied in discovery activities and to what extent the process, experience and results differ from other analytical approaches, such as machine learning and exploratory statistics. The stance taken here is that GeoViz has established enough credibility and utility to be considered an equal partner in the expanding arsenal of GeoComputation (GC) techniques and that there is by now sufficient scientific credibility and related success stories to justify this stance.
