Collocation Pattern Analysis: A Variable Size/Shape Analysis

Spatial Data Mining is discovering of interesting, implicit knowledge in spatial databases, an important task for understanding and use of spatial-data and knowledge bases. The spatial features are identified in the spatial data and various kinds of analyses are aimed at obtaining various results by the decision support systems. Collocation patterns represent subsets of fuzzy/boolean spatial features whose instances are often located in close geographic proximity. Several theoretical and application-oriented approaches support finding the collocation patterns. The analysis gives the scope of understanding the variable changes of spatial features that evolve in the collocation patterns and how they influence the change in the spatial collocation rule.