A Recent Survey on Knowledge Discovery in Spatial Data Mining

Spatial data mining is the process of discovering, motivating and previously unknown, but potentially helpful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more tricky than extracting the parallel patterns from established numeric and definite data due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation. This paper focuses on the sole features that distinguish spatial data mining from traditional data mining. Major activities and research needs in spatial data mining research are discussed. And it gives the Applications and Techniques, Issues and challenges on spatial data mining. It shows that spatial data mining is a promising field with rich research results and many challenging issues.