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Seasonal Trend Analysis for Time Series Imagery in R

0packages depend
2.4Kdownloads / year
–test coverage
8/13flavors OK

Overview

About

Efficiently estimate shape parameters of periodic time series imagery with which a 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.

Install

Health

CRAN checks
5NOTE8OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Base package in Suggests/Enhances imported in NAMESPACE:
  ‘grDevices’

r-devel-windows-x86_64

Base package in Suggests/Enhances imported in NAMESPACE:
  'grDevices'

CRAN check page ↗

Slowest check: 7.6 min · r-oldrel-windows-x86_64
Status changes
  • NOTE8 OK, 5 NOTENow
  • NOTE11 OK, 2 NOTE2026-09-12
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.7
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
29%

Downloads

2.4K
CRAN downloads in the past year
Rank #18,445 · ~7/day · ~204/mo
Daily download trend is not available in this view yet.
26330 days
70590 days
2.4K1 year
Compare downloads with other packages →
Also on66 r2u1 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing sta adds 83 packages (49 with compiled code, 78 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, bslib 5.6 MB.

Depends (5)
LinkingTo (0)
none
Suggests (2)
spgrDevices
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.5 (2021)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.7Latest
    record
    2022-05-30 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.5
    record
    2021-02-18
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-18
Total releases
2 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
5.0 KB / 1 file
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sta")
Tecuapetla-Gomez, I. (2022). sta: Seasonal Trend Analysis for Time Series Imagery in R (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.sta

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sta version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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