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Visualising Spatial Data

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Applied Spatial Data Analysis with R

Part of the book series: Use R! ((USE R,volume 10))

Abstract

A major pleasure in working with spatial data is their visualisation. Maps are amongst the most compelling graphics, because the space they map is the space we think we live in, and maps may show things we cannot see otherwise. Although one can work with all R plotting functions on the raw data, for example extracted from Spatial classes by methods like coordinates or as.data.frame, this chapter introduces the plotting methods for objects inheriting from class Spatial that are provided by package sp.

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Notes

  1. 1.

    This is not true for Trellis plots; see Sect. 3.2.

  2. 2.

    See http://www.colorbrewer.org/.

References

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Author information

Authors and Affiliations

  1. Norwegian School of Economics, Bergen, Norway

    Roger S. Bivand

  2. Westfälische Wilhelms-Universität, Münster, Germany

    Edzer Pebesma

  3. Department of Mathematics, Universidad de Castilla-La Mancha, Albacete, Spain

    Virgilio Gómez-Rubio

Authors
  1. Roger S. Bivand
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  2. Edzer Pebesma
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  3. Virgilio Gómez-Rubio
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Bivand, R.S., Pebesma, E., Gómez-Rubio, V. (2013). Visualising Spatial Data. In: Applied Spatial Data Analysis with R. Use R!, vol 10. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7618-4_3

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