Author
Listed:
- Jae-Seong Ahn
(Land and Urban Research Institute, Korea Land Corporation, 217 Jeongja 1-Dong, Bundang-Gu, Songnam 463815, South Korea)
- Hwahwan Kim
(Department of Geography, University of Georgia, 210 Field Street, Athens, GA 30605, USA)
- Yang-Won Lee
(Center for Spatial Information Science, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8568, Japan)
Abstract
Spatially associated patterns are often found in geographical phenomena, since nearby entities are often more related than distant ones. Such spatial association also changes over time; hence, the temporal aspect of spatial association needs to be examined using both spatiality and temporality. This paper describes a method of modeling the temporal signatures of spatial association, and thus of grouping similar changes. We employed a Moran scatterplot to assess the local characteristics of a spatial association and then extended it to a time-series Moran scatterplot quadrant signature (MSQS) to capture spatiotemporal changes in regions categorically. We used sequence comparison and data grouping techniques to classify similar regions in terms of the time-series MSQS. We tested the feasibility of the proposed method using a case study of a twenty-four-month (June 2004–May 2006) housing price index for sixty-nine administrative units in the Seoul Metropolitan Area, South Korea.
Suggested Citation
Jae-Seong Ahn & Hwahwan Kim & Yang-Won Lee, 2009.
"Classification of Changing Regions Using a Temporal Signature of Local Spatial Association,"
Environment and Planning B, , vol. 36(5), pages 854-864, October.
Handle:
RePEc:sae:envirb:v:36:y:2009:i:5:p:854-864
DOI: 10.1068/b34131t
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