Big Data for Regional Science (PDF)
This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes by experts from all over the world with a wide array of disciplinary backgrounds.
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This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes by experts from all over the world with a wide array of disciplinary backgrounds.
Laurie A. Schintler is a computational social scientist with interests and research activity in the following areas related to Big Data analytics: geocomputation (socio-spatio modelling), transportation, regional science, scientometrics/bibliometrics and network modeling and analysis. She also has expertise on the policy-side of Big Data - specifically, issues related to the digital divide, job automation, workforce education and training and emerging technologies.
Zhenhua Chen is an assistant professor in City and Regional Planning at the Knowlton School of Architecture at The Ohio State University. His research interest includes regional science, big data analytics, risk and resilience, infrastructure planning and policy.
- 2017, 376 Seiten, Englisch
- Herausgegeben: Laurie A Schintler, Zhenhua Chen
- Verlag: Taylor & Francis
- ISBN-10: 1351983261
- ISBN-13: 9781351983266
- Erscheinungsdatum: 07.08.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 19 MB
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