Schintler / Chen Big Data for Regional Science

Erscheinungsjahr 2017
ISBN: 978-1-351-98326-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 376 Seiten

Reihe: Routledge Advances in Regional Economics, Science and Policy

Recent technological advancements and other factors 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 and at levels of spatial and temporal resolution that were previously not possible.

Despite the tremendous potential of "Big Data", its use and application in regional science 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. As well as concisely and comprehensively summarising and synthesising work done to date, the book will also consider future challenges and prospects.

Autoren/Hrsg.

Schintler, Laurie A

Chen, Zhenhua

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien

Inhaltsverzeichnis

1.Introduction 2. Urban and Regional Applications 3. Analytical Methods 4. Data Management 5. Policy and Programmatic Issues 6. Conclusion

Über Autor(innen)

Zhenhua Chen is a Postdoctoral Research Associate at the University of Southern California, USA

Laurie A. Schintler is a George Mason University, USA