Visualized Geology Spatial Data Classifying Based on Integrated Techniques between GIS and SDM

Abstract

A brief introduction to the integrated technology between Geographic Information System (GIS) and Spatial Data Mining (SDM). Then a spatial data mining prototype system called Visual Geo-Classify System (VGCS) use to classify spatial data based on Visual C++ 6.0 and MapObject2.0 is designed and developed, the system is used Bayesian Network and decision tree as the basic data mining algorithms, and using a combination of training and learning to achieve the geo-spatial data classification. The authors used examples of data verified the effectiveness on system performance, algorithms and the rules. The results indicate that this prototype system is a practical and extensible Visual Interactive Spatial Data Mining tool, the system can achieve the interactive control of data mining course dynamic and real-time, and the process and models of geo-spatial data classification are visualized, and the result of data mining can be visual displayed, as well as visual thought, can be visual analyzed and can be visual evaluated.