| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Extreme coefficients in Geographically Weighted Regression and their effects on mapping
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| Autores: |
Cho, Seong-Hoon
Lambert, Dayton M.
Kim, Seung Gyu
Jung, Suhyun
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| Data: |
2009-04-21
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| Ano: |
2009
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| Palavras-chave: |
Extreme coefficient
Fixed and adaptive calibrations
Geographically weighted regression
Mapping
Research Methods/ Statistical Methods
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| Resumo: |
This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions. We found that although GWR yields extreme coefficients regardless of the resolution of the dataset or types of kernel function, 1) the GWR tends to generate extreme coefficients for less spatially dense datasets, 2) coefficient maps based on polygon data representing aggregated areal units are more sensitive to extreme coefficients, and 3) coefficient maps using bandwidths generated by a fixed calibration procedure are more vulnerable to the extreme coefficients than adaptive calibration.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/49117
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| Relação: |
Agricultural and Applied Economics Association>2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin
Selected Paper
613303
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| Formato: |
25
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