Spatial information multi-grid for data mining

Authors:
Zhenfeng Shao;Deren Li
Affiliations:
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, P.R. China;State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, P.R. China
Venue:
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Year:
2005

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Abstract

Driven by the issue of geo-spatial data mining under grid computing environment, a new representation method called spatial information multi-grid (SIMG) for depicting spatial data and spatial information is presented in this paper. A strategy of dividing the globe with multi-level spatial grid is proposed. And through further studying on the precision of description on feature of detail, this paper tries to divide the globe with SIMG and constructs the framework of SIMG in China. Based on SIMG this paper tries to realize data mining of different thematic information on the same geographical position, data mining of dynamic spatial-temporal information of the same thematic content, data mining and transforming of different coordinate systems and to make SIMG a fundamental research work for further developing spatial information sharing and data mining.