Classification of Changing Regions Using a Temporal Signature of Local Spatial Association

Jae-Seong Ahn, Hwahwan Kim and Yang-Won Lee
Additional contact information
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

Environment and Planning B, 2009, vol. 36, issue 5, 854-864

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.

Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/b34131t (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:36:y:2009:i:5:p:854-864

DOI: 10.1068/b34131t

Access Statistics for this article

More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().