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Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality

손 철 1 신상영 2

1강릉대학교 지역개발학과 조교수
2서울시정개발연구원 연구위원

Accredited

ABSTRACT

In this study, we assess the effects of using diverse types of spatial interpolation methods on the size of estimated marginal implicit prices of air quality in a hedonic analysis. By using spatial interpolation methods in a hedonic analysis, one can estimate the level of air quality at a location with no air quality monitoring station through using the recorded level of air quality from nearby air quality monitoring stations. There exist many types of spatial interpolation methods that can be used in a hedonic analysis such as IDW(Inverse Distance Weighted), Thiessen Polygons, Splines, Kriging, etc. One problem with these methods is that each method produces slightly different estimates of the air quality level at a location with no air quality monitoring station due to their differences in algorithm when they are applied to the same study area in a hedonic analysis. We use four types of spatial interpolation methods such as Thiessen Polygon, Buffering, Thin Plate Splines, and Thin Plate Splines with Tension. Findings from this study show that using different types of spatial interpolation methods in a hedonic analysis does substantially differentiate the resulting sizes and statistical significances of the estimated marginal implicit prices of air quality. We find that, among four spatial interpolation methods used, the Buffering method could seriously bias the size of the estimated marginal implicit prices of air quality because it has the side effect of biasing the samples included for a hedonic analysis. The major implication of this study is that one should employ diverse spatial interpolation methods in a hedonic analysis because the size and statistical significance of the marginal implicit price of air quality can vary according to spatial interpolation methods employed with knowing that each method has its own limitations.

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* References for papers published after 2022 are currently being built.