Spatial Analysis Using Big Data: Methods and Urban Applications

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Spatial Analysis Using Big Data: Methods and Urban Applications

Editors: Yoshiki Yamagata Hajime Seya

ISBN10: 9780128131275

ISBN13: 9780128131329

Spatial Analysis Using Big Data: Methods and Urban Applications

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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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title Spatial Analysis Using Big Data
subtitle Econometrical Methods and Applications
authors Yoshiki Yamagata
publisher Academic Press
publishedDate 2019-10
description Spatial Analysis using Big Data: Econometrical Methods and 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. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics
pageCount 300
printType BOOK
categories Business & Economics
maturityRating NOT_MATURE
panelizationSummary
language en
canonicalVolumeLink https://books.google.com/books/about/Spatial_Analysis_Using_Big_Data.html?hl=&id=-kFnwwEACAAJ

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