@article{ART001060834},
author={손 철 and 신상영},
title={Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality},
journal={The Korea Spatial Planning Review},
issn={1229-8638},
year={2007},
volume={53},
pages={77-92},
doi={10.15793/kspr.2007.53..005}
TY - JOUR
AU - 손 철
AU - 신상영
TI - Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality
JO - The Korea Spatial Planning Review
PY - 2007
VL - 53
IS - null
PB - 국토연구원
SP - 77
EP - 92
SN - 1229-8638
AB - 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.
KW - Air Quality;Spatial Interpolation;Hedonic Analysis
DO - 10.15793/kspr.2007.53..005
ER -
손 철 and 신상영. (2007). Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality. The Korea Spatial Planning Review, 53, 77-92.
손 철 and 신상영. 2007, "Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality", The Korea Spatial Planning Review, vol.53, pp.77-92. Available from: doi:10.15793/kspr.2007.53..005
손 철, 신상영 "Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality" The Korea Spatial Planning Review 53 pp.77-92 (2007) : 77.
손 철, 신상영. Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality. 2007; 53 77-92. Available from: doi:10.15793/kspr.2007.53..005
손 철 and 신상영. "Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality" The Korea Spatial Planning Review 53(2007) : 77-92.doi: 10.15793/kspr.2007.53..005
손 철; 신상영. Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality. The Korea Spatial Planning Review, 53, 77-92. doi: 10.15793/kspr.2007.53..005
손 철; 신상영. Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality. The Korea Spatial Planning Review. 2007; 53 77-92. doi: 10.15793/kspr.2007.53..005
손 철, 신상영. Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality. 2007; 53 77-92. Available from: doi:10.15793/kspr.2007.53..005
손 철 and 신상영. "Influence of Spatial Interpolation Methods based on Bufferingon Hedonic Analysis of Air Quality" The Korea Spatial Planning Review 53(2007) : 77-92.doi: 10.15793/kspr.2007.53..005
