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sta  

Seasonal Trend Analysis for Time Series Imagery in R
View on CRAN: Click here


Download and install sta package within the R console
Install from CRAN:
install.packages("sta")

Install from Github:
library("remotes")
install_github("cran/sta")

Install by package version:
library("remotes")
install_version("sta", "0.1.7")



Attach the package and use:
library("sta")
Maintained by
Inder Tecuapetla-Gomez
[Scholar Profile | Author Map]
First Published: 2021-02-18
Latest Update: 2022-05-30
Description:
Efficiently estimate shape parameters of periodic time series imagery with whicha statistical seasonal trend analysis (STA) is subsequently performed. STA output can be exported in conventional raster formats. Methods to visualize STA output are also implemented as well as the calculation of additional basic statistics. STA is based on (R. Eastman, F. Sangermano, B. Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cai, E. Machado and S. Crema, 2009) <doi:10.1080/01431160902755338>.
How to cite:
Inder Tecuapetla-Gomez (2021). sta: Seasonal Trend Analysis for Time Series Imagery in R. R package version 0.1.7, https://cran.r-project.org/web/packages/sta. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.1.5 (2021-02-18 00:20)
Other packages that cited sta R package
View sta citation profile
Other R packages that sta depends, imports, suggests or enhances
Complete documentation for sta
Functions, R codes and Examples using the sta R package
Some associated functions: getMaster . marismas . ndmi . plot.staMatrix . plot.staNumeric . sta-package . sta . 
Some associated R codes: data.R . extdata.R . sta-package.R . sta.R . staFunctions.R .  Full sta package functions and examples
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