TSS.RESTREND: Time Series Segmentation of Residual Trends

Time Series Segmented Residual Trends is a method for the automated detection of land degradation from remotely sensed vegetation and climate datasets. TSS-RESTREND incorporates aspects of two existing degradation detection methods: RESTREND which is used to control for climate variability, and BFAST which is used to look for structural changes in the ecosystem. The full details of the testing and justification of the TSS-RESTREND method (version 0.1.02) are published in Burrell et al., (2017). <doi:10.1016/j.rse.2017.05.018>. The changes to the method introduced in version 0.2.03 focus on the inclusion of temperature as an additional climate variable. This allows for land degradation assessment in temperature limited drylands. A paper that details this work is currently under review. There are also a number of bug fixes and speed improvements. The version under active development and additional example scripts can be can be found at <https:// github.com/ArdenB/TSSRESTREND>.

Version: 0.2.13
Depends: R (≥ 3.2.0)
Imports: stats, graphics, utils, bfast (≥ 1.5.7), broom, strucchange, ggplot2, RcppRoll
Suggests: rgl, car
Published: 2018-01-24
Author: Arden Burrell [aut, cre]
Maintainer: Arden Burrell <arden.burrell at unsw.edu.au>
License: GPL-3
NeedsCompilation: no
Citation: TSS.RESTREND citation info
CRAN checks: TSS.RESTREND results

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Reference manual: TSS.RESTREND.pdf
Package source: TSS.RESTREND_0.2.13.tar.gz
Windows binaries: r-devel: TSS.RESTREND_0.2.13.zip, r-release: TSS.RESTREND_0.2.13.zip, r-oldrel: TSS.RESTREND_0.2.13.zip
OS X El Capitan binaries: r-release: TSS.RESTREND_0.2.13.tgz
OS X Mavericks binaries: r-oldrel: TSS.RESTREND_0.1.02.tgz
Old sources: TSS.RESTREND archive

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