Title :
Spatial cluster based on map algebra
Author :
Zhang, Jianbo ; Liu, Jiping ; Wang, Bei
Author_Institution :
Res. Center of Gov. Geographic Inf. Syst., Chinese Acad. of Surveying & Mapping, Beijing, China
Abstract :
The analysis of spatial cluster is an important issue in the field of spatial data mining. After investigating the general approaches of spatial cluster, based on the distance transformation of map algebra, a clustering model is designed, and an approach of spatial cluster Based on Map algebra is proposed. Finally, the experiments has been executed with the geo-spatial statistical data about the Entertainment of Wuhan residents, the result represents reasonable Leisure Activities cluster for urban residential areas.
Keywords :
algebra; computational geometry; data mining; geographic information systems; pattern clustering; statistical analysis; visual databases; Wuhan resident entertainment; data mining; distance transformation; geospatial statistical data; leisure activity; map algebra; spatial cluster analysis; urban residential area; Algebra; Clustering algorithms; Data mining; Data models; Partitioning algorithms; Spatial databases; Transforms; distance transformation; map algebra; spatial cluster;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.590
