A Visual Framework for Spatial Data Mining
The unique properties of spatial data provide challenges and opportunities for researching new methods in spatial data mining. In this article, we propose an interoperable framework that integrates Geographic Information System (GIS) with the spatial data mining processto facilitate spatial data preparation, to extract spatial relationships that can take advantage of traditional data mining toolkits such as Weka, and to reveal significant spatial patterns. With this approach, it’svery straightforward to adopt spatial access methods and spatial query processing algorithms foran efficient data mining technique. Moreover, our framework visually supports the complete spatial data mining process.