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Spatial regression analysis using Ei...
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Griffith, Daniel.
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Spatial regression analysis using Eigenvector spatial filtering /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Spatial regression analysis using Eigenvector spatial filtering // Daniel A. Griffith, Yongwan Chun, Bin Li ; foreword by Pierre Legendre ; series editor Giuseppe Arbia.
作者:
Griffith, Daniel.
其他作者:
Chun, Yongwan.
出版者:
London, UK ;Academic Press, : c2019.,
面頁冊數:
xxviii, 258 p. :ill. (some col.) ;23 cm.
標題:
Spatial analysis (Statistics) -
ISBN:
9780128150436
Spatial regression analysis using Eigenvector spatial filtering /
Griffith, Daniel.
Spatial regression analysis using Eigenvector spatial filtering /
Daniel A. Griffith, Yongwan Chun, Bin Li ; foreword by Pierre Legendre ; series editor Giuseppe Arbia. - London, UK ;Academic Press,c2019. - xxviii, 258 p. :ill. (some col.) ;23 cm. - Spatial econometrics and spatial statistics. - Spatial econometrics and spatial statistics..
Includes bibliographical references and index.
"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, and spatial interaction models. In addition, it provides a tutorial for ESF model specification and interfaces, including author developed, user-friendly software"--
ISBN: 9780128150436USD150.00
LCCN: 2019947104Subjects--Topical Terms:
520421
Spatial analysis (Statistics)
LC Class. No.: QA278.2 / .G75 2019
Dewey Class. No.: 519.536
Spatial regression analysis using Eigenvector spatial filtering /
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