Land grading and evaluating using spatial data mining
Jia Ze-lu, Yaolin Liu · Journal of Earth Science and Enivronmental · 2005
A brief introduction to spatial data mining and decision tree is proposed. Thereupon, by researching on the arithmetic of decision tree, this paper applies the visual spatial data mining technique into the field of land grading and evaluating. And then based on visual C~(++) 6.0 and MapObject 2.0, a spatial data mining prototype system for land grading and evaluating is designed and developed, in which the decision tree is used as the basic arithmetic of the spatial data mining of the system. For land grading and evaluating, training and learning method is adopted and the integration of them implemented. Furthermore, a model of land grading and evaluating based on decision tree is addressed, especially the system framework, the main modules, the interface and the rough workflow of the system. The approach used in the paper is a new exploration for the methodology of land grading and evaluating, a new attempt for implementation of land information system(LIS),a developing direction for the intellectualized LIS as well.