pyDtwSat 0.0.1

Will update description later

# pyDtwSat This Package is adapted from Victor maus’s R package dtwSat.

Dynamic Time Warping and Time-Weighted Dynamic Time Warping (TWDTW) for satellite image time series analysis.

## References

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<div id=”ref-Maus:2019” class=”csl-entry”>

Maus, Victor, Gilberto Camara, Marius Appel, and Edzer Pebesma. 2019. “<span class=”nocase”>dtwSat</span>: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.” Journal of Statistical Software 88 (5): 1–31. <https://doi.org/10.18637/jss.v088.i05>.

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<div id=”ref-Maus:2016” class=”csl-entry”>

Maus, Victor, Gilberto Camara, Ricardo Cartaxo, Alber Sanchez, Fernando M. Ramos, and Gilberto R. de Queiroz. 2016. “A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (8): 3729–39. <https://doi.org/10.1109/JSTARS.2016.2517118>.

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