Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 531 g
Reihe: Routledge Advances in Regional Economics, Science and Policy
Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 531 g
Reihe: Routledge Advances in Regional Economics, Science and Policy
ISBN: 978-0-367-88569-4
Verlag: Taylor & Francis Ltd
This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science.
Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.
Zielgruppe
Postgraduate and Undergraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Contents
List of Figures
List of Tables
List of Contributors
Foreword by Michael Batty
1. Introduction
Laurie A. Schintler and Zhenhua Chen
PART I New Big Data Source in Regional Science
2. Opportunities for Retail Data and Their Geographic Integration in Social Science
Guy Lansley and Paul Longley
3. Use of Probe Data Generated by Taxis
Josep Maria Salanova, Michal Maciejewski, Joschka Bischoff, Miquel Estrada Romeu, Panagiotis Tzenos, and Iraklis Stamos
4. The Emerging Geography of Globalizing Chinese Cities Based on Web-based Information Services
Jean-Claude Thill, Jae Soen Son, and Min Chen
5. Using Web Crawled Data for Urban Housing Research
Zhenhua Chen
6. Examining Intraurban Migration in the Twin Cities Metropolitan Area using Parcel Data
Shipeng Sun
7. Crowdsourcing Street Beauty: Visual Preference Surveys in the Big Data Era
Robert Goodspeed and Xiang Yan
8. Public Response to Campus Shootings Using Social Media
Xinyue Ye, Zhuo Chen, and Shengwen Li
PART II Big Data Integration and Management
9. Using Big (Synthetic) Data to Identify Local Housing Market Attributes
A.Yair Grinberger and Daniel Felsenstein
10. Using Recurrent Spatio-Temporal Profiles in GPS Panel Data for Enhancing Imputation of Activity Type
Tao Feng and Harry J.P. Timmermans
11. Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity
Sungsoon Hwang, Sai Yalla, and Ryan Crews
12. Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data
Max Nathan and Anna Rosso
13. The Integration of Internet Data and Census Data for Spatial Analysis in a