Other packages > Find by keyword >

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]
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 08 Apr. 2025.
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)
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
Downloads during the last 30 days
03/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/07Downloads for TSS.RESTREND0123456789101112TrendBars

Today's Hot Picks in Authors and Packages

dave  
Functions for "Data Analysis in Vegetation Ecology"
A collection of functions accompanying the book "Data Analysis in Vegetation Ecology". 3rd ed. CABI, ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
icr  
Compute Krippendorff's Alpha
Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and ...
Download / Learn more Package Citations See dependency  
ssc  
Semi-Supervised Classification Methods
Provides a collection of self-labeled techniques for semi-supervised classification. In semi-superv ...
Download / Learn more Package Citations See dependency  
seasonalclumped  
Toolbox for Clumped Isotope Seasonality Reconstructions
Compiles a set of functions and dummy data that simplify reconstructions of seasonal temperature va ...
Download / Learn more Package Citations See dependency  
sybil  
Efficient Constrained Based Modelling
This Systems Biology Package Gelius-Dietrich et. al. 2012 doi10.11861752-0509-7-125 implements algor ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA