Quotation Schintler, Laurie A., Fischer, Manfred M. 2018. Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research.


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Abstract

Recent technological, social, and economic trends and transformations are contributing to the production of what is usually referred to as Big Data. Big Data, which is typically defined by four dimensions -- Volume, Velocity, Veracity, and Variety -- changes the methods and tactics for using, analyzing, and interpreting data, requiring new approaches for data provenance, data processing, data analysis and modeling, and knowledge representation. The use and analysis of Big Data involves several distinct stages from "data acquisition and recording" over "information extraction" and "data integration" to "data modeling and analysis" and "interpretation", each of which introduces challenges that need to be addressed. There also are cross-cutting challenges, which are common challenges that underlie many, sometimes all, of the stages of the data analysis pipeline. These relate to "heterogeneity", "uncertainty", "scale", "timeliness", "privacy" and "human interaction". Using the Big Data analysis pipeline as a guiding framework, this paper examines the challenges arising in the use of Big Data in regional science. The paper concludes with some suggestions for future activities to realize the possibilities and potential for Big Data in regional science.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Working/discussion paper, preprint
Language English
Title Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research
Year 2018
URL http://epub.wu.ac.at/6122/
JEL C18, C45, C55, C82, R23

Associations

People
Fischer, Manfred M. (Details)
External
Schintler, Laurie A. (Schar School of Policy and Government, George Mason University, United States/USA)
Organization
Institute for Economic Geography and GIScience IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1807 Economic geography (Details)
1810 Geographic Information Systems (GIS) (Details)
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