Study on spatial data classification based on integration between GIS and spatial data mining
Jia Ze-lu · Cehui kexue · 2007
A brief introduction of GIS and spatial data mining as well as their integration are proposed.Then a spatial data mining prototype system used to classify spatial data based on Visual C++ 6.0 and MapObject2.0 are designed and developed,which use Decision Tree and Bayesian Networks as its basic algorithm to realize spatial data mining,and integrate training and learning to classify spatial data.Some test has been done to verify the capability of the system and the validity of these algorithms and rules.The result indicates that this prototype system is a practical and extensible Visual Interactive Spatial Data Mining tool.It can realize the interactive control of data mining dynamically and real-timely.At the same time,the process,models and result of data mining are displayed,thought and analyzed as well as evaluated visually.