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Proceedings Paper

Association rule mining based on spatio-temporal processes of spatial distribution patterns
Author(s): Xuewu Zhang; Fenzhen Su; Yishao Shi; Yawen He
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Paper Abstract

Spatial distribution pattern is an arrangement of two or more spatial objects according to some spatial relations, such as spatial direction, topological and distance relations. In the real world, spatial objects and spatial distribution pattern all vary continuously along the time-line. Traditional spatial and non-spatial data dissevers this continuous spatio-temporal process. Under analyzing relations among spatial object, its attributes and spatial distribution pattern, we brought metaspatio- temporal process, spatio-temporal process and spatial distribution pattern spatio-temporal process. Rainfall in Eastern China has a typical spatial distribution pattern, being composed of the northern rain area and the southern rain area. Through constructing spatio-temporal process transactions, the association rules can be extracted from spatiotemporal process data set by the Apriori algorithm. The result of the spaio-temporal process association rule mining is consistent with the analysis of the theory. Finally, it is concluded that the spatio-temporal process can describe change of a spatial object in a defined time range, and change trend of one entity can be forecasted through varying trend of others based on the valuable spatio-temporal process association rules.

Paper Details

Date Published: 29 December 2008
PDF: 10 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853Z (29 December 2008); doi: 10.1117/12.815880
Show Author Affiliations
Xuewu Zhang, Tongji Univ. (China)
Institute of Geographic Sciences and Natural Resources Research (China)
Fenzhen Su, Institute of Geographical Sciences and Natural Resources Research (China)
Yishao Shi, Tongji Univ. (China)
Yawen He, Institute of Geographic Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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