- Identify several cluster detection techniques and discuss their limitations
- Demonstrate the extension of spatial clustering to deal with clustering in space-time using the Know and Mantel tests
- Perform a cluster detection analysis to detect “hot spots” in a point pattern
- Discuss the characteristics of the various cluster detection techniques
This knowledge area embodies a variety of data driven analytics, geocomputational methods, simulation and model driven approaches designed to study complex spatial-temporal problems, develop insights into characteristics of geospatial data sets, create and test geospatial process models, and construct knowledge of the behavior of geographically-explicit and dynamic processes and their patterns.
Topics in this Knowledge Area are listed thematically below. Existing topics are linked directly to either their original (2006) or revised entries; forthcoming, future topics are italicized.