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TSS.RESTREND
View on CRAN: Click
here
Download and install TSS.RESTREND package within the R console
Install from CRAN:
install.packages("TSS.RESTREND")
Install from Github:
library("remotes")
install_github("cran/TSS.RESTREND")
Install by package version:
library("remotes")
install_version("TSS.RESTREND", "0.3.1")
Attach the package and use:
library("TSS.RESTREND")
Maintained by
Arden Burrell
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.TSS.RESTREND . TSS.RESTREND citation info . TSS.RESTREND results . TSS.RESTREND.pdf . TSS.RESTREND_0.3.1.tar.gz . TSS.RESTREND_0.3.1.zip . TSS.RESTREND_0.3.1.zip . TSS.RESTREND_0.3.1.zip . TSS.RESTREND_0.3.1.tgz . TSS.RESTREND_0.3.1.tgz . TSS.RESTREND_0.3.1.tgz . TSS.RESTREND_0.3.1.tgz . TSS.RESTREND archive . https://CRAN.R-project.org/package=TSS.RESTREND .
First Published: 2016-09-26
Latest Update: 2020-08-02
Description:
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 inclusionof temperature as an additional climate variable. This allows for landdegradation 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. Version 0.3.0 introduces additional attribution for eCO2,climate change and climate variability the details of which are in press in Burrell et al., (2020).The version under active development and additional example scripts showinghow the package can be applied can be found at <https://github.com/ArdenB/TSSRESTREND>.
How to cite:
Arden Burrell (2016). TSS.RESTREND: Time Series Segmentation of Residual Trends. R package version 0.3.1, https://cran.r-project.org/web/packages/TSS.RESTREND. Accessed 04 May. 2025.
Previous versions and publish date:
Other packages that cited TSS.RESTREND R package
View TSS.RESTREND citation profile
Other R packages that TSS.RESTREND depends,
imports, suggests or enhances
Complete documentation for TSS.RESTREND
Functions, R codes and Examples using
the TSS.RESTREND R package
Some associated functions: ACP.calculator . AnMaxVI . AnnualClim.Cal . CHOW . RESTREND . TSS.RESTREND-package . TSSRESTREND . TSSRattribution . VPR.BFAST . climate.accumulator . franksCO2 . plot.TSSRESTREND . print.TSSRESTREND . rabbitACPtable . seg.RESTREND . seg.VPR . segRESTREND . segRESTRENDCTSR . segRESTRENDctRF . segRESTRENDrfTab . segVPR . segVPRCTSR . segVPRctRF . segVPRrfTab . stdRESTREND . stdRESTRENDCTSR . stdRESTRENDctRF . stdRESTRENDrfTab .
Some associated R codes: ACPcalculator.R . AnMaxVi.R . AnnaulClimCal.R . CHOW_bptest.R . ClimateAccumulator.R . RESTREND.R . TSS.RESTRENDpackage.R . TSSRattribution.R . TSS_RESTREND.R . VPR_BFAST.R . data.R . franckCO2.R . plot.TSSRESTREND.R . print.TSSRESTREND.R . segRESTREND.R . segVPR.R . Full TSS.RESTREND package functions and examples
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