dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis

Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land use and land cover mapping using satellite image time series. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for land use and land cover classification using satellite data. The method is based on comparing unclassified satellite image time series with a set of known temporal patterns (e.g. phenological cycles associated with the vegetation). Using 'dtwSat' the user can build temporal patterns for land cover types, apply the TWDTW analysis for satellite datasets, visualize the results of the time series analysis, produce land cover maps, and create temporal plots for land cover change analysis.

Version: 0.2.1
Depends: R (≥ 3.2.0), zoo, raster, ggplot2
Imports: methods, rgdal, dtw, proxy, scales, reshape2, grDevices, RColorBrewer, plyr, stats, parallel, sp, lubridate, caret, mgcv
Suggests: testthat, knitr, rmarkdown, rticles, gridExtra, grid, png, Hmisc, xtable, tikzDevice
Published: 2016-07-19
Author: Victor Maus [aut, cre]
Maintainer: Victor Maus <vwmaus1 at gmail.com>
BugReports: NA
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
NeedsCompilation: yes
Citation: dtwSat citation info
Materials: NEWS
CRAN checks: dtwSat results


Reference manual: dtwSat.pdf
Vignettes: dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R
Package source: dtwSat_0.2.1.tar.gz
Windows binaries: r-devel: dtwSat_0.2.1.zip, r-release: dtwSat_0.2.1.zip, r-oldrel: dtwSat_0.2.1.zip
OS X Mavericks binaries: r-release: dtwSat_0.2.1.tgz, r-oldrel: dtwSat_0.2.1.tgz
Old sources: dtwSat archive