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02585aam a22004218i 4500 001 3CAF7E4EE67F11EE94C7D61345ECA4DB 003 SILO 005 20240320010038 008 230826s2024 flu b 001 0 eng 010 $a 2023022790 020 $a 1032564237 020 $a 9781032564234 020 $a 1032564229 020 $a 9781032564227 035 $a (OCoLC)1404058335 040 $a LBSOR $b eng $e rda $c DLC $d OCLCO $d OCLCF $d OCLCO $d RAU $d NUI $d SILO 042 $a pcc 050 00 $a G70.3 $b .F676 2024 082 00 $a 910/.01519536 $2 23/eng/20231016 100 1 $a Fotheringham, A. Stewart, $e author. 245 10 $a Multiscale geographically weighted regression : $b theory and practice / $c A. Stewart Fotheringham, Taylor Oshan, Ziqi Li. 250 $a First edition. 263 $a 2311 264 1 $a Boca Raton : $b CRC Press, $c 2024. 300 $a pages cm 520 $a "Multiscale Geographically Weighted Regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book serves as definitive guide to local regression modeling and the analysis of spatially varying processes, a very cutting-edge, hands-on, and innovative resource. The authors start with the basic ideas and fundamentals of local spatial modeling followed by a detailed discussion of scale issues and statistical inference related to MGWR. A comprehensive guide to free, user-friendly, software for MGWR is also provided, as well as an analysis of the 2020 US Presidential election"-- $c Provided by publisher. 504 $a Includes bibliographical references and index. 505 0 $a Introduction to local modeling -- MGWR : the essentials -- Inference -- Spatial scale and local modeling -- Software for MGWR -- Caveat emptor! -- A local analysis of voting behavior : the 2020 US presidential election -- MGWR and other models incorporating spatial contextual effects. 650 0 $a Geography $x Statistical methods. 650 0 $a Regression analysis. 650 7 $a Geography $x Statistical methods $2 fast $0 (OCoLC)fst00940523 650 7 $a Regression analysis $2 fast $0 (OCoLC)fst01432090 776 08 $i Online version: $a Fotheringham, A. Stewart. $t Multiscale geographically weighted regression. $b First edition $d Boca Raton : CRC Press, 2024 $z 9781003435464 $w (DLC) 2023022791 700 1 $a Oshan, Taylor, $e author. 700 1 $a Li, Ziqi $c (Assistant professor) $e author. 941 $a 1 952 $l OVUX522 $d 20240320011434.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=3CAF7E4EE67F11EE94C7D61345ECA4DBInitiate Another SILO Locator Search