An image library: The potential of imagery in (quantitative) social sciences

Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber

Chapter 32 in Handbook of Spatial Analysis in the Social Sciences, 2022, pp 528-543 from Edward Elgar Publishing

Abstract: This chapter provides an overview of imagery data available and relevant for Regional Scientists. We present a general framework to understand imagery data, and illustrated it with a (non-comprehensive) review of applications in each category. Our framework is organised around two dimensions, space and time, and each dimension includes three scales. We divide imagery spatial based on the perspective from which the data is collected: from above, at street-level, and from within. Similarly, we consider three main temporal scales: static, slow, and fast. The intersection of these two dimensions results in nine categories with distinct characteristics, degree of engagement from Regional Science, and potential for the near future. We discuss these with an illustration of existing applications, and conclude the chapter with a reflection on the potential impact of these data sources in the future of Regional Science.

Keywords: Development Studies; Economics and Finance; Environment; Geography; Research Methods; Sociology and Social Policy; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2022
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