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Exploratory Spatial Data Analysis

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Handbook of Regional Science

Abstract

In this chapter, we discuss key concepts for exploratory spatial data analysis (ESDA). We start with its close relationship to exploratory data analysis (EDA) and introduce different types of spatial data. Then, we discuss how to explore spatial data via different types of maps and via linking and brushing. A key technique for ESDA is local indicators of spatial association (LISA). ESDA needs to be supported by software. We discuss two main lines of software developments: GIS-based solutions and stand-alone solutions.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, Utah State University, 3900 Old Main Hill, Logan, UT, 84322-3900, USA

    Dr. Jürgen Symanzik

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  1. Dr. Jürgen Symanzik
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Correspondence to Jürgen Symanzik .

Editor information

Editors and Affiliations

  1. Institute for Economic Geography and GIScience, Vienna University of Economics and Business, Vienna, Austria

    Manfred M. Fischer

  2. and Business Administration Department of Spatial Economics, Free University Faculty of Economics, Amsterdam, The Netherlands

    Peter Nijkamp

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Symanzik, J. (2014). Exploratory Spatial Data Analysis. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23430-9_76

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  • DOI: https://doi.org/10.1007/978-3-642-23430-9_76

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23429-3

  • Online ISBN: 978-3-642-23430-9

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