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Proceedings Paper

Design and implementation of multi-source data mining system for land use
Author(s): Xiaofeng Hong; Yaolin Liu; Dianfeng Liu; Yin Xia; Xi Hu
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Paper Abstract

With the development of "3S" technologies, a large quantity of spatial-temporal data related to land use has been accessed. Being scattered across different departments and lacking of relevant analysis tools made them utilize insufficiently. Although some experts have applied data mining to solve this problem, most of them have only provided one method for single task to build the mining systems. However, it is undesirable to use just one method to mine. In addition, the single function systems can not be used widely and conveniently. Hence, under full investigation on operations of land use, a multi-source data mining prototype system for land use is proposed by integrating of technologies of GIS and spatial data mining. According to the general data mining process, aiming at the multi-demands of land evaluation and land planning and so on, the system is developed by using ArcEngine 9.0 and The system integrates basic geospatial data, land use/cover data, and thematic data as data sources, excavates different knowledge of land Quality, land use zoning rules, land use patterns and change rules and so on. Based on the types of knowledge, the system accordingly provides several different mining methods, including decision tree, support vector machine, artificial neural network, time series, spatial association rules, etc. Wide adaptability of the system is demonstrated by using some cases. The results of the system can meet multipurpose needs and be used to support decision-making of the land management department.

Paper Details

Date Published: 14 October 2009
PDF: 7 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921J (14 October 2009); doi: 10.1117/12.838416
Show Author Affiliations
Xiaofeng Hong, Wuhan Univ. (China)
Yaolin Liu, Wuhan Univ. (China)
Dianfeng Liu, Wuhan Univ. (China)
Yin Xia, Wuhan Univ. (China)
Xi Hu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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