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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
Article

Abstract

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.

Keywords

Discrete wavelet transform Köppen classification Multiresolution analysis Time series analysis 

Abbreviations

CWT

Continuous Wavelet Transform

DWT

Discrete Wavelet Transform

FD

Fractionally Differenced

MODWT

Maximal Overlap Discrete Wavelet Transform

MRA

Multiresolution Analysis

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Copyright information

© Akadémiai Kiadó, Budapest 2004

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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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