Spatial analysis using big data : methods and urban applications /

Saved in:
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:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12039701
Hidden Bibliographic Details
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

MARC

LEADER 00000cam a22000001i 4500
001 12039701
005 20200228115557.2
006 m o d
007 cr cnu---unuuu
008 191010s2020 enka ob 001 0 eng d
015 |a GBB9H1832  |2 bnb 
016 7 |a 019576733  |2 Uk 
020 |a 9780128131329  |q electronic book 
020 |a 0128131322  |q electronic book 
020 |z 9780128131275  |q paperback 
035 |a (OCoLC)1129888898 
037 |a 9780128131329  |b Ingram Content Group 
040 |a UKMGB  |b eng  |e rda  |e pn  |c UKMGB  |d OCLCO  |d N$T  |d UKAHL  |d N$T  |d YDXIT  |d OCLCF  |d OPELS 
049 |a MAIN 
050 4 |a HA30.6  |b .S63 2020 
245 0 0 |a Spatial analysis using big data :  |b methods and urban applications /  |c edited by Yoshiki Yamagata, Hajime Seya. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press,  |c [2020] 
300 |a 1 online resource (xvii, 284 pages) 
336 |a text  |b txt  |2 rdacontent  |0 http://id.loc.gov/vocabulary/contentTypes/txt 
337 |a computer  |b c  |2 rdamedia  |0 http://id.loc.gov/vocabulary/mediaTypes/c 
338 |a online resource  |b cr  |2 rdacarrier  |0 http://id.loc.gov/vocabulary/carriers/cr 
490 0 |a Spatial econometrics and spatial statistics 
504 |a Includes bibliographical references and index. 
588 |a Description based on online resource; title from digital title page (viewed on December 30, 2019). 
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. 
650 0 |a Urban geography  |x Data processing. 
650 0 |a Big data.  |0 http://id.loc.gov/authorities/subjects/sh2012003227 
650 7 |a Big data.  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Spatial analysis (Statistics)  |x Data processing.  |2 fast  |0 (OCoLC)fst01128786 
650 7 |a Urban geography  |x Data processing.  |2 fast  |0 (OCoLC)fst01162437 
655 4 |a Electronic books. 
700 1 |a Yamagata, Yoshiki,  |e editor.  |0 http://id.loc.gov/authorities/names/nr2001014165 
700 1 |a Seya, Hajime,  |e editor.  |0 http://id.loc.gov/authorities/names/no2019171351 
776 0 8 |i Print version:  |z 9780128131275 
903 |a HeVa 
929 |a oclccm 
999 f f |i e264f200-4de2-5fb7-9db7-2a5780a27976  |s 27de8104-0a6d-5d00-8f87-f702f303fb29 
928 |t Library of Congress classification  |a HA30.6 .S63 2020  |l Online  |c UC-FullText  |u https://www.sciencedirect.com/science/book/9780128131275  |z Elsevier  |g ebooks  |i 11587935