Spatial analysis using big data: Methods and urban applications

Yoshiki Yamagata, Hajime Seya

研究成果: Book

2 被引用数 (Scopus)

抄録

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.

本文言語English
出版社Elsevier
ページ数302
ISBN(電子版)9780128131329
ISBN(印刷版)9780128131275
DOI
出版ステータスPublished - 2019 11 2
外部発表はい

ASJC Scopus subject areas

  • 経済学、計量経済学および金融学(全般)
  • ビジネス、管理および会計(全般)

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