Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3183-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3183-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note: Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences
New Zealand Institute for Plant & Food Research Limited, Private Bag 4704, Christchurch 8140, New Zealand
University of Saskatchewan, Department of Soil Science, Saskatoon, SK S7N 5A8, Canada
College of Hydraulic and Architectural Engineering, Northwest A&F University, Yangling 712100, China
University of Saskatchewan, Department of Soil Science, Saskatoon, SK S7N 5A8, Canada
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Latest update: 16 Aug 2024
Short summary
Bivariate wavelet coherence has been used to explore scale- and location-specific relationships between two variables. In reality, a process occurring on land surface is usually affected by more than two factors. Therefore, this manuscript is to develop a multiple wavelet coherence method. Results showed that new method outperforms other multivariate methods. Matlab codes for a new method are provided. This method can be widely applied in geosciences where a variable is controlled by many factors.
Bivariate wavelet coherence has been used to explore scale- and location-specific relationships...