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binaryTimeSeries
View on CRAN: Click
here
Download and install binaryTimeSeries package within the R console
Install from CRAN:
install.packages("binaryTimeSeries")
Install from Github:
library("remotes")
install_github("cran/binaryTimeSeries") Install by package version:
library("remotes")
install_version("binaryTimeSeries", "1.0.2") Attach the package and use:
library("binaryTimeSeries")
Maintained by
Thomas Mumuni Bilintoh
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-18
Latest Update:
Description:
A procedure to create maps pie charts and stacked bar plotsshowing the trajectory of a binary variable during a time series.You provide a time series of data sets as a stack of raster files or adata frame and call the various functions in binaryTimeSeries to createyour desired graphics.For more information please consultPontius Jr R. G. 2022. Metrics That Make a DifferenceHow to Analyze Change and Error Springer Nature Switzerland AGdoi10.1007978-3-030-70765-1 andBilintoh T.M. 2022. Intensity Analysis to Study the Dynamics ofreforestation in the Rio Doce Water Basin Brazil.Frontiers in Remote Sensing 3 873341 13.doi10.3389frsen.2022.873341.
How to cite:
Thomas Mumuni Bilintoh (2022). binaryTimeSeries: Analyzes a Binary Variable During a Time Series. R package version 1.0.2, https://cran.r-project.org/web/packages/binaryTimeSeries. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.0.2 (2022-07-18 14:10)
Other packages that cited binaryTimeSeries R package
View binaryTimeSeries citation profile
Other R packages that binaryTimeSeries depends,
imports, suggests or enhances
Functions, R codes and Examples using
the binaryTimeSeries R package
Some associated functions: changeData . dataStack . presencePlot . stackbarPlots . trajData . trajPlot .
Some associated R codes: changeData.R . dataStack.R . presencePlot.R . stackbarPlots.R . trajData.R . trajPlot.R . Full binaryTimeSeries package functions and examples
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