Spatial analysis using big data : methods and urban applications /

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Bibliographic Details
Imprint:	London ; San Diego, CA : Academic Press, [2020]
Description:	1 online resource (xvii, 284 pages)
Language:	English
Series:	Spatial econometrics and spatial statistics
Subject:	Spatial analysis (Statistics) -- Data processing. Urban geography -- Data processing. Big data. Big data. Spatial analysis (Statistics) -- Data processing. Urban geography -- Data processing. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12039701

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Other authors / contributors:	Yamagata, Yoshiki, editor. Seya, Hajime, editor.
ISBN:	9780128131329 0128131322 9780128131275
Notes:	Includes bibliographical references and index. Description based on online resource; title from digital title page (viewed on December 30, 2019).
Summary:	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.
Other form:	Print version: 9780128131275

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