지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
When a spatial regression model that uses kernel density values as a dependent variable is applied to retail business data, a unique model cannot be selected because kernel density values change following kernel bandwidths. To overcome this problem, this paper suggests how to use the point pattern analysis, especially the L-index to select a unique spatial regression model. In this study, kernel density values of retail business are computed by the bandwidth, the distance of the maximum L-index and used as the dependent variable of spatial regression model. To test this procedure, we apply it to meeting room business data in Seoul, Korea. As a result, a spatial error model (SEM) is selected between two popular spatial regression models, a spatial lag model and a spatial error model. Also, a unique SEM based on the real distribution of retail business is selected. We confirm that there is a trade-off between the goodness of fit of the SEM and the real distribution of meeting room business over the bandwidth of maximum L-index.
목차
Abstract
1. Introduction
2. Methodology
3. Application and Analysis
4. Conclusion
References
참고문헌 (17)
참고문헌 신청
1. [보고서] - Anselin, L. / 2005 / Exploring Spatial Data with GeoDa: a Workbook
2. [단행본] - Bailey, T. C. / 1995 / Interactive Spatial Data Analysis / Longman
3. [기타자료] - Borruso, G. / 2004 / Density analysis on large geographical databases, Search for an Index of Centrality of Services at Urban Scale / ICCSA 2004, LNCS 3044 : 1009 ~ 1015
4. [학술지(정기간행물)] - Brunsdon, C. / 1995 / Estimating probability surfaces for geographical point data: an adaptive kernel algorithm / Computers and Geosciences 21 (7) : 877 ~ 894
5. [학술지(정기간행물)] - Chi, G. / 2008 / Spatial regression models for demographic analysis / Population Research and Policy Review 27 : 17 ~ 42
2. [단행본] - Bailey, T. C. / 1995 / Interactive Spatial Data Analysis / Longman
3. [기타자료] - Borruso, G. / 2004 / Density analysis on large geographical databases, Search for an Index of Centrality of Services at Urban Scale / ICCSA 2004, LNCS 3044 : 1009 ~ 1015
4. [학술지(정기간행물)] - Brunsdon, C. / 1995 / Estimating probability surfaces for geographical point data: an adaptive kernel algorithm / Computers and Geosciences 21 (7) : 877 ~ 894
5. [학술지(정기간행물)] - Chi, G. / 2008 / Spatial regression models for demographic analysis / Population Research and Policy Review 27 : 17 ~ 42
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UCI(KEPA) : I410-ECN-0101-2015-530-002847038