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Item Details
Title: BIG DATA FOR REGIONAL SCIENCE
By: Laurie A Schintler (Editor), Zhenhua Chen (Editor)
Format: Electronic book text

List price: £34.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1351983245
ISBN 13: 9781351983242
Publisher: TAYLOR & FRANCIS LTD
Pub. date: 31 July, 2017
Series: Routledge Advances in Regional Economics, Science and Policy
Pages: 416
Synopsis: Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or `Big Data'. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community. 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.
Illustrations: 84 Line drawings, black and white; 55 Tables, black and white; 84
Publication: UK
Imprint: Routledge
Returns: Non-returnable
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