TY - GEN
T1 - Spatial cluster detection on detailed data without constraint of continuousness
AU - Ujiie, Akihito
AU - Fukumoto, Junya
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Spatial cluster is the set of geographical units where concentration of events is observed. Spatial clusters provide useful information for under-standing mechanism and characteristic of socioeconomic activities. Sever-al methods have been proposed for cluster detection. However, there is no existing method relaxes a constraint on adjacency of geographical units that compose clusters. Constraint that requires exact adjacency may have significant impact on detected clusters, especially in the case of detailed data. In this study, we propose a new cluster detection method relaxes con-straints on shape and adjacency. Along the lines of model-based clustering, we assume spatial data arise through a probabilistic model. Employing Potts model on the probabilistic model, we can embed constraints on shape in the probabilistic model and relax constraints on geometric shape. The applicability of the proposed method is tested on case studies using mesh data of Japanese economic census.
AB - Spatial cluster is the set of geographical units where concentration of events is observed. Spatial clusters provide useful information for under-standing mechanism and characteristic of socioeconomic activities. Sever-al methods have been proposed for cluster detection. However, there is no existing method relaxes a constraint on adjacency of geographical units that compose clusters. Constraint that requires exact adjacency may have significant impact on detected clusters, especially in the case of detailed data. In this study, we propose a new cluster detection method relaxes con-straints on shape and adjacency. Along the lines of model-based clustering, we assume spatial data arise through a probabilistic model. Employing Potts model on the probabilistic model, we can embed constraints on shape in the probabilistic model and relax constraints on geometric shape. The applicability of the proposed method is tested on case studies using mesh data of Japanese economic census.
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M3 - Conference contribution
AN - SCOPUS:85026404380
T3 - CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management
BT - CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management
PB - CUPUM
T2 - 14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015
Y2 - 7 July 2015 through 10 July 2015
ER -