Exploratory spatial data analysis

Ran Wei

Chapter 18 in Handbook of Spatial Analysis in the Social Sciences, 2022, pp 305-321 from Edward Elgar Publishing

Abstract: In this chapter, I discuss a core set of exploratory spatial data analysis (ESDA) techniques that are most widely used in social science. I start with choropleth maps for describing spatial distribution and detecting spatial outliers. This is followed by an introduction of a few global and local spatial autocorrelation measures to detect spatial association and identify spatial clusters. Then, I discuss how to explore spatial data via different types of maps and graphics via linking and brushing. The chapter closes with a brief discussion of future directions.

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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