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	Provedor de dados AgEcon (1) Autor Cho, Seong-Hoon (1) Jung, Suhyun (1) Kim, Seung Gyu (1) Lambert, Dayton M. (1) Palavra-chave Extreme coefficient (1) Fixed and adaptive calibrations (1) Geographically weighted regression (1) Mapping (1) Research Methods/ Statistical Methods (1) Tipo do documento Conference Paper or Presentation (1) Ano 2009 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Extreme coefficients in Geographically Weighted Regression and their effects on mapping AgEcon Cho, Seong-Hoon; Lambert, Dayton M.; Kim, Seung Gyu; Jung, Suhyun. 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. Tipo: Conference Paper or Presentation Palavras-chave: Extreme coefficient; Fixed and adaptive calibrations; Geographically weighted regression; Mapping; Research Methods/ Statistical Methods. Ano: 2009 URL: http://purl.umn.edu/49117 Registros recuperados: 1 Primeira ... 1 ... Última

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