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Spatial analysis using big data : methods and urban applications /

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 th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yamagata, Yoshiki (Editor ), Seya, Hajime (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2020]
Colección:Spatial econometrics and spatial statistics (Academic Press)
Temas:
Acceso en línea:Texto completo

MARC

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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) :  |b illustrations (some color). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Spatial econometrics and spatial statistics 
504 |a Includes bibliographical references and index. 
588 |a Description based on online resource; title from PDF title page (EBSCOhost, viewed 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. 
650 6 |a Analyse spatiale (Statistique)  |0 (CaQQLa)201-0026934  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a G�eographie urbaine  |0 (CaQQLa)201-0008965  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a Donn�ees volumineuses.  |0 (CaQQLa)000284673 
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 
700 1 |a Yamagata, Yoshiki,  |e editor. 
700 1 |a Seya, Hajime,  |e editor. 
776 0 8 |i Print version:  |t Spatial analysis using big data.  |d London, United Kingdom ; San Diego, CA : Academic Press, an imprint of Elsevier, [2020]  |z 9780128131275  |w (DLC) 2019955543  |w (OCoLC)1124247260 
830 0 |a Spatial econometrics and spatial statistics (Academic Press) 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128131275  |z Texto completo