A framework for uncertain spatial data mining and its application to environmental geochemistry quality assessment

Cui-hua Chen; Bin-bin He; Shi-jun Ni

doi:10.1117/12.650381

2 December 2005 A framework for uncertain spatial data mining and its application to environmental geochemistry quality assessment

Cui-hua Chen, Bin-bin He, Shi-jun Ni

Author Affiliations +

Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60450T (2005) https://doi.org/10.1117/12.650381
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

A framework for uncertain spatial data mining was proposed. In which, the uncertainties of spatial data themselves and spatial data mining are emphatically dealt with, including uncertainty simulation by Monte Carlo method, spatial autocorrelation matrix based on uncertain spatial data, discretization based on neighborhood EM algorithms, and quality assessment of results. Meanwhile, the experiments of environmental geochemistry quality assessment with uncertain and spatial data mining have been performed using the environmental geochemistry data gotten from Dexing, Jiangxi province in China.

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Cui-hua Chen, Bin-bin He, and Shi-jun Ni "A framework for uncertain spatial data mining and its application to environmental geochemistry quality assessment", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60450T (2 December 2005); https://doi.org/10.1117/12.650381

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