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Research on Application of Spatial Statistics for Exploring Spatio-Temporal Changes in Patterns of Commercial Landuse  

Shin, Jung-Yeop (Department of Geography Education, Seoul National University)
Lee, Gyoung-Ju (Department of Geography, State University of New York at Buffalo)
Publication Information
Journal of the Korean Geographical Society / v.42, no.4, 2007 , pp. 632-647 More about this Journal
Abstract
Lots of geographic phenomena have dynamic spatial patterns with time changes, and there have been lots of researches on exploring these dynamic spatial patterns. However, most of these researches focused on the static pattern analysis in a given period, rather than dealing with dynamic changes in the spatial pattern over time with the continual or cumulative perspective. For this reason, investigation of the inertia of spatial process in terms of temporal changes is needed. From this background, the purpose of this paper is to propose the methodology to explore the changes in spatial pattern cumulatively by considering the inertia of the spatial statistics over time, and to apply it to the case study That is, we introduce the new spatial statistic, and produce the z-values of the statistic using Monte Carlo Simulation, and then to explore the changes in spatial patterns over time cumulatively. To do this, the method to combine the J statistic with CUSUM statistic for exploring spatial patterns, and to apply it to the changes in the commercial landuse in Erie County, New York State. Through the proposed method for spatio-temporal Patterns, we could explore continual changes effectively in the spatial patterns reflecting the statistics by temporal spot cumulatively.
Keywords
Commercial landuse; Spatio-temporal changes; J spatial statistic; Monte Carlo Simulation; CUSUM(Cumulative sum) statistic;
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Times Cited By KSCI : 5  (Citation Analysis)
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