Geographic Data Mining

Abstract

Geographic data mining (or spatial data mining) is the process of discovering novel, interesting, and useful patterns and knowledge from massive collections of geospatial data. It lies at the confluence of multiple disciplines related to geographical data analysis, including geographic information systems, database systems, data mining, machine learning, and spatial statistical modeling. Geographic data mining is playing an increasingly important role in scalable analysis of massive geographic and geocoded datasets.