ABSTRACT
Spatial co-location mining is used to mine the “positive” relationship of different spatial features in spatial data. It is somewhat difficult to find co-location instances, since the instances of spatial features are embedded in a continuous space and share neighbor relationships. Association rule mining algorithms cannot be directly applied to co-location pattern mining since there are no predefined transactions in spatial data sets. Thus, the following three basic approaches are proposed for mining co-locations.
