Big data

Laurie A. Schintler

Chapter D.II.5 in Thematic Encyclopedia of Regional Science, 2025, pp 340-341 from Edward Elgar Publishing

Abstract: Big Data refers to large, complex, and rapidly streaming datasets, characterized by volume, velocity, variety, and veracity. In regional science, it has evolved alongside technological advances to support new forms of spatial analysis and urban modeling. This entry outlines the history and conceptual pipeline of Spatial Big Data—from geographically referenced data collection to processing, analysis, and visualization—and examines how generative AI and other related developments are creating new opportunities for advancing the field of regional science.

Keywords: Big data; Space and time; Actors and society; Goods and markets; Services and economy; Transport and interactions; Governance and policy; Methods and techniques (search for similar items in EconPapers)
Date: 2025
ISBN: 9781800379275
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