Spatial process for housing prices in Seoul using spatiotemporal local G statistics

Changwan Seo, Hakgi Sohn, Yun Soo Choi, Jae Myeong Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The housing market in Korea was unstable for a period of 5 years from 2003 to 2007, during which time housing prices in certain areas greatly increased in comparison to housing prices in other areas in a relatively short period. The purpose of this study is to explore temporal trends in spatial patterns of housing prices in the housing market in Seoul, Korea. We utilized apartment locations based on monthly housing prices for the sub-administration areas (dongs) of the 25 local governments (gu) in Seoul from January 2004 to December 2007, and applied spatiotemporal local G statistics. The major findings of this study are as follows. First, housing prices are highly spatially and temporally correlated in certain areas, such as Gangnam and the new towns, and housing price hotspots are sufficiently detectable in terms of spatiotemporal autocorrelation. Secondly, government housing policies affect the spatiotemporal patterns of housing prices. These results indicate that we are able to monitor spatiotemporal patterns of housing prices in a housing market, and use this approach to effectively support the decisions of housing policy makers.

Original languageEnglish
Article number2
JournalSpatial Information Research
Issue number1
StatePublished - 1 Feb 2016


  • Hotspot analysis
  • Housing prices
  • Local G statistics
  • Spatiotemporal local G statistics


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