Exploring Spatial Heterogeneity in Factors for Apartment Prices in Seoul Using Moran Eigenvector Spatial Filtering Based on Spatially Varying Coefficients (모런 고유벡터 공간 필터링 기반 공간 가변 계수를 이용한 서울시 아파트 가격 결정요인의 공간적 이질성 탐색)

Hyeongmo Koo (구형모)

doi:10.25202/JAKG.8.2.14

Exploring Spatial Heterogeneity in Factors for Apartment Prices in Seoul Using Moran Eigenvector Spatial Filtering Based on Spatially Varying Coefficients

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Journal of the Association of Korean Geographers
Abbr : JAKG
2019, 8(2), pp.321-335
DOI : 10.25202/JAKG.8.2.14
Publisher : Association of Korean Geographers
Research Area : Social Science > Geography
Received : June 27, 2019
Accepted : July 31, 2019
Published : August 31, 2019

Hyeongmo Koo ¹

¹中國南京師範大學地理科學學院

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ABSTRACT

Spatially varying coefficients models have been used as a tool for exploring spatial heterogeneity in regression coefficients. But, among various spatially varying coefficients models, only a geographically weighted regression (GWR) has been used for exploring spatial heterogeneity in factors for housing prices although it suffers from its low explanatory power and high multicollinearity between local coefficients. This study applies another type of a spatially varying coefficients model based on Moran eigenvector spatial filtering (MESF) to explore factors to apartment sale prices. The analysis results are compared to those of GWR and global MESF. The result shows MESF outperforms GWR in terms of explanatory power, spatial autocorrelation in model residuals, and multicollinearity between local coefficients. In additions, a variation in local coefficients against their global coefficients suggests that exploring spatial heterogeneity is necessary for a housing price estimation model.

KEYWORDS

Apartment sale price, Spatially varying coefficients, Moran eigenvector spatial filtering, Geographically weighted regression

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Journal of the Association of Korean Geographers 2023 KCI Impact Factor : 1.35

Exploring Spatial Heterogeneity in Factors for Apartment Prices in Seoul Using Moran Eigenvector Spatial Filtering Based on Spatially Varying Coefficients

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Association of Korean Geographers 2023 KCI Impact Factor : 1.35

Exploring Spatial Heterogeneity in Factors for Apartment Prices in Seoul Using Moran Eigenvector Spatial Filtering Based on Spatially Varying Coefficients

ABSTRACT

KEYWORDS

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