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This repository implements the procedure from Soleymani et al. (2017) for applying DWT-based segmentation on trajectories of turkey vultures in R

Home Page: https://munterfi.github.io/dwt-based-segmentation/

License: GNU General Public License v3.0

R 77.31% TeX 22.69%
discrete-wavelet-transformation movement-ecology gps-tracking movement-behavior peak-analysis wavelet-decomposition wavelet-transform segmentation

dwt-based-segmentation's Introduction

Discrete Wavelet Transform based Segmentation of Trajectories

This repository implements the procedure from Soleymani et al. (2017) for applying a DWT-based segmentation on trajectories of turkey vultures in R.

Prerequisites

  • R – R is a free software environment for statistical computing and graphics
  • RStudio – Open source and enterprise-ready professional software for R

Author

References

Dodge, G. Bohrer, K. Bildstein, S. C. Davidson, R. Weinzierl, M. J. Bechard, D. Barber, et al. 2014. “Environmental drivers of variability in the movement ecology of turkey vultures (Cathartes aura) in North and South America.” Philosophical Transactions of the Royal Society B: Biological Sciences 369 (1643): 20130195–5. doi:10.1098/rstb.2013.0195.

Soleymani, Ali, Frank Pennekamp, Somayeh Dodge, and Robert Weibel. 2017. “Characterizing Change Points and Continuous Transitions in Movement Behaviours Using Wavelet Decomposition.” Methods in Ecology and Evolution 8 (9): 1113–23. doi:10.1111/2041-210X.12755.

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