What is meant by spacial data mining?
It is analyzing data from areas related by distance/area (usually used in geography) Spatial data mining is the application of data mining techniques to spatial data. Spatial data mining follows along the same functions in data mining, with the end objective to find patterns in geography. Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more difficult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation. This tutorial will introduce spatial data mining in the following categories: location prediction, spatial outlier detection, and co-location mining.
