Hello World: Introducing Spatial Data

  • Roger S. Bivand
  • Edzer Pebesma
  • Virgilio Gómez-Rubio
Part of the Use R! book series (USE R, volume 10)


Spatial and spatio-temporal data are everywhere. Besides those we collect ourselves (‘is it raining?’), they confront us on television, in newspapers, on route planners, on computer screens, on mobile devices, and on plain paper maps. Making a map that is suited to its purpose and does not distort the underlying data unnecessarily is however not easy. Beyond creating and viewing maps, spatial data analysis is concerned with questions not directly answered by looking at the data themselves. These questions refer to hypothetical processes that generate the observed data. Statistical inference for such spatial processes is often challenging, but is necessary when we try to draw conclusions about questions that interest us.


Geographical Information System Geographical Information System Spatial Autocorrelation Spatial Data Spatial Statistic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Roger S. Bivand
    • 1
  • Edzer Pebesma
    • 2
  • Virgilio Gómez-Rubio
    • 3
  1. 1.Norwegian School of EconomicsBergenNorway
  2. 2.Westfälische Wilhelms-UniversitätMünsterGermany
  3. 3.Department of MathematicsUniversidad de Castilla-La ManchaAlbaceteSpain

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