An introduction to wavelet analysis with applications to vegetation time series


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.



Continuous Wavelet Transform


Discrete Wavelet Transform


Fractionally Differenced


Maximal Overlap Discrete Wavelet Transform


Multiresolution Analysis


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Correspondence to D. B. Percival.

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Percival, D.B., Wang, M. & Overland, J.E. An introduction to wavelet analysis with applications to vegetation time series. COMMUNITY ECOLOGY 5, 19–30 (2004).

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  • Discrete wavelet transform
  • Köppen classification
  • Multiresolution analysis
  • Time series analysis