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

In: Regional Resilience to Climate and Environmental Shocks

Author

Listed:
  • Rita De Siano

    (Parthenope University of Naples)

  • Valerio Leone Sciabolazza

    (Parthenope University of Naples)

  • Alessandro Sapio

    (Parthenope University of Naples)

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.

Suggested Citation

  • Rita De Siano & Valerio Leone Sciabolazza & Alessandro Sapio, 2020. "A Tutorial on Modelling Geographic, Economic and Social Interactions Using GIS Methods with R," SpringerBriefs in Regional Science, in: Regional Resilience to Climate and Environmental Shocks, chapter 0, pages 45-72, Springer.
    • Handle: RePEc:spr:sbrchp:978-3-030-54588-8_4
    DOI: 10.1007/978-3-030-54588-8_4
    as

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