Community Ecology

, Volume 5, Issue 1, pp 19–30 | Cite as

An introduction to wavelet analysis with applications to vegetation time series

  • D. B. PercivalEmail author
  • M. Wang
  • J. E. Overland


Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing time series and spatial data. We provide a basic introduction to wavelet analysis which concentrates on their interpretation in the context of analyzing time series. We illustrate the use of wavelet analysis on time series related to vegetation coverage in the Arctic region.


Discrete wavelet transform Köppen classification Multiresolution analysis Time series analysis 



Continuous Wavelet Transform


Discrete Wavelet Transform


Fractionally Differenced


Maximal Overlap Discrete Wavelet Transform


Multiresolution Analysis


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© Akadémiai Kiadó, Budapest 2004

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Applied Physics LaboratoryUniversity of WashingtonSeattleUSA
  2. 2.Joint Institute for the Study of the Atmosphere and OceanUniversity of WashingtonSeattleUSA
  3. 3.Pacific Marine Environmental Laboratory/NOAASeattleUSA

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