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Spatial analysis using big datametho...
~
Seya, Hajime,
Spatial analysis using big datamethods and urban applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Spatial analysis using big dataedited by Yoshiki Yamagata, Hajime Seya.
Reminder of title:
methods and urban applications /
other author:
Yamagata, Yoshiki,
Published:
London ;Academic Press,2020.
Description:
1 online resource (xvii, 284 p.)
Subject:
Spatial analysis (Statistics)Data processing.
Online resource:
https://www.sciencedirect.com/science/book/9780128131275
ISBN:
9780128131329 (electronic bk.)
Spatial analysis using big datamethods and urban applications /
Spatial analysis using big data
methods and urban applications /[electronic resource] :edited by Yoshiki Yamagata, Hajime Seya. - London ;Academic Press,2020. - 1 online resource (xvii, 284 p.) - Spatial econometrics and spatial statistics.
Includes bibliographical references and index.
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: 9780128131329 (electronic bk.)Subjects--Topical Terms:
286723
Spatial analysis (Statistics)
--Data processing.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HA30.6 / .S63 2020
Dewey Class. No.: 307.760285/57
Spatial analysis using big datamethods and urban applications /
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methods and urban applications /
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edited by Yoshiki Yamagata, Hajime Seya.
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Academic Press,
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2020.
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1 online resource (xvii, 284 p.)
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Includes bibliographical references and index.
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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.
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https://www.sciencedirect.com/science/book/9780128131275
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1 records • Pages 1 •
1
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000000203759
電子館藏
1圖書
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EB HA30.6 .S63 2020 2020
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1 records • Pages 1 •
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https://www.sciencedirect.com/science/book/9780128131275
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