Environmental and Ecological Statistics

, Volume 20, Issue 1, pp 1–17 | Cite as

Nonparametric circular methods for exploring environmental data

  • María Oliveira
  • Rosa M. Crujeiras
  • Alberto Rodríguez-Casal


The goal of this work is to introduce nonparametric kernel methods for density and regression estimation for circular data, and illustrate their use by a brief simulation study and real data application. Apart from supplying practitioners with a license free and easy to run code for the use of these methods, our aim is also to provide solutions to practical problems that may be encountered in their application. The real data examples belong to the International Polar Year project, concerned with the environmental change in the polar regions.


Glacier Circular data Nonparametric estimation 


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Supplementary material

10651_2012_203_MOESM1_ESM.txt (8 kb)
ESM 1 (TXT 8 kb)
10651_2012_203_MOESM2_ESM.txt (5 kb)
ESM 1 (TXT 6 kb)


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • María Oliveira
    • 1
  • Rosa M. Crujeiras
    • 1
  • Alberto Rodríguez-Casal
    • 1
  1. 1.Department of Statistics and Operations ResearchUniversity of Santiago de CompostelaSantiago de CompostelaSpain

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