A Tutorial on Modelling Geographic, Economic and Social Interactions Using GIS Methods with R

Rita De Siano (), Valerio Leone Sciabolazza and Alessandro Sapio
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Rita De Siano: Parthenope University of Naples
Alessandro Sapio: Parthenope University of Naples

Chapter Chapter 4 in Regional Resilience to Climate and Environmental Shocks, 2020, pp 45-72 from Springer

Abstract: Abstract Aim of this chapter is to briefly introduce practical techniques to work with economic data with a spatial component. In particular, it introduces a number of tools for modelling geographic and social/economic interactions, and it discusses most popular statistics to test for the presence of spatial autocorrelation. The reader is walked through the discussion with a number of replicable examples with R. Far from being a comprehensive survey of all methods existing in the literature, the dissertation is meant to provide a basic toolbox of investigation for the researcher which can be used and further extended in future studies.

Keywords: GIS; R; Network analysis; Spatial statistics (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sbrchp:978-3-030-54588-8_4

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DOI: 10.1007/978-3-030-54588-8_4

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