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TSS.RESTREND  

Time Series Segmentation of Residual Trends
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]
All associated links for this package
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
Previous versions and publish date:
0.1.02 (2016-09-26 13:31), 0.2.13 (2018-01-24 12:42), 0.3.0 (2020-07-15 18:40)
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