dtwSat: Time-Weighted Dynamic Time Warping for Remote Sensing Time Series Analysis

Provides a Time-Weighted Dynamic Time Warping (TWDTW) algorithm to measure similarity between two temporal sequences. This adaptation of the classical Dynamic Time Warping (DTW) algorithm is flexible to compare events that have a strong time dependency, such as phenological stages of cropland systems and tropical forests. This package provides methods for visualization of minimum cost paths, time series alignment, and time intervals classification.

Version: 0.1.0
Depends: R (≥ 3.0.0), methods, dtw, zoo
Imports: proxy, waveslim, graphics, ggplot2, scales, reshape2, grDevices, utils
Suggests: testthat
Published: 2015-10-10
Author: Victor Maus [aut, cre]
Maintainer: Victor Maus <vwmaus1 at gmail.com>
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
NeedsCompilation: no
CRAN checks: dtwSat results


Reference manual: dtwSat.pdf
Package source: dtwSat_0.1.0.tar.gz
Windows binaries: r-devel: dtwSat_0.1.0.zip, r-release: dtwSat_0.1.0.zip, r-oldrel: dtwSat_0.1.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: dtwSat_0.1.0.tgz