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Spatial analysis using big data :met...

Seya, Hajime,

Spatial analysis using big data :methods and urban applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial analysis using big data :edited by Yoshiki Yamagata, Hajime Seya.
Reminder of title:	methods and urban applications /
other author:	Yamagata, Yoshiki,
Published:	London, United Kingdom ;Academic Press, an imprint of Elsevier,c2020.
Description:	xvii, 284 p. :ill. (some col.) ;22 cm.
Subject:	Spatial analysis (Statistics)Data processing.
ISBN:	9780128131275 (pbk.) :

Spatial analysis using big data :methods and urban applications /
Spatial analysis using big data :methods and urban applications /edited by Yoshiki Yamagata, Hajime Seya. - London, United Kingdom ;Academic Press, an imprint of Elsevier,c2020. - xvii, 284 p. :ill. (some col.) ;22 cm. - Spatial econometrics and spatial statistics. - Spatial econometrics and spatial statistics..

Includes bibliographical references and index.

Introduction /Yoshiki Yamagata and Hajime Seya --

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.

ISBN: 9780128131275 (pbk.) :$150

Standard Tech. Report. No.: cam a2200277 a 450

Nat. Bib. No.: GBB9G9942bnb

Nat. Bib. Agency Control No.: 019574841UkSubjects--Topical Terms:

286723
Spatial analysis (Statistics)
--Data processing.

LC Class. No.: HA30.6 / .S63 2020

Dewey Class. No.: 307.760285/57

Spatial analysis using big data :methods and urban applications /
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050 1 4 $a HA30.6 $b .S63 2020
082 0 4 $a 307.760285/57 $2 23
245 0 0 $a Spatial analysis using big data : $b methods and urban applications / $c edited by Yoshiki Yamagata, Hajime Seya.
260 $a London, United Kingdom ; $a San Diego, CA : $b Academic Press, an imprint of Elsevier, $c c2020.
300 $a xvii, 284 p. : $b ill. (some col.) ; $c 22 cm.
490 1 $a Spatial econometrics and spatial statistics
504 $a Includes bibliographical references and index.
505 0 0 $t Introduction / $r Yoshiki Yamagata and Hajime Seya -- $t Mathematical preparation / $r Hajime Seya and Yoshiki Yamagata -- $t Global and local indicators of spatial associations / $r Hajime Seya -- $t Geostatistics and Gaussian process models / $r Daisuke Murakami, Yoshiki Yamagata, and Toshihiro Hirano -- $t Spatial econometric models / $r Hajime Seya, Takahiro Yoshida, and Yashiki Yamagata -- $t Models in quantitative geography / $r Daisuke Murakami and Yoshiki Yamagata -- $t Implementation in R languages / $r Takahiro Yoshida and Daisuke Murakami -- $t Spaital heat-wave assessments using geotagged Twitter data / $r Daisuke Murakami and Yoshiki Yamagata -- $t Evaluating walkability using mobile GPS data / $r Yoshiki Yamagata, Daisuke Murakami, and Takahiro Yoshida -- $t Spatial scenario creation based on downscale methods / $r Daisuke Murakami and Yoshiki Yamagata -- $t Quasi realt-time energy use estimation using Google's Popular Times data / $r Takahiro Yoshida and Yoshiki Yamagata.
520 $a Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.
650 0 $a Spatial analysis (Statistics) $x Data processing. $3 286723
650 0 $a Urban geography $x Data processing. $3 857975
650 0 $a Big data. $3 609582
700 1 $a Yamagata, Yoshiki, $e editor. $3 857972
700 1 $a Seya, Hajime, $e editor. $3 857973
776 0 8 $i ebook version : $z 9780128131329
830 0 $a Spatial econometrics and spatial statistics. $3 857974