Understanding natural and human-induced structures and processes in space and time has long been the agenda of geographical research. Through theoretical and experimental studies, geographers have accumulated a wealth of knowledge about our physical and man-made world over the years. Knowledge is often discovered through critical observations of phenomena in space and time. Due to the rapidly expanding amount of data and information the problem is often not having enough data but having too much and too complex a database. The aim of the topic is to provide insight into several methods to carry out spatio-temporal knowledge discovery through spatial data mining and clustering techniques.
In progress (GI-N2K)