Package: sta
Version: 0.1.7
Date: 2022-05-29
Title: Seasonal Trend Analysis for Time Series Imagery in R
Authors@R: person("Inder", "Tecuapetla-Gomez", 
                  email = "itecuapetla@conabio.gob.mx",
                  role = c("aut", "cre"))
Author: Inder Tecuapetla-Gomez [aut, cre]
Maintainer: Inder Tecuapetla-Gomez <itecuapetla@conabio.gob.mx>
Description: 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>.
LazyData: true
License: GPL (>= 2)
Encoding: UTF-8
Depends: raster (>= 2.9-5), R (>= 3.5.0), geoTS (>= 0.1.1), foreach (>=
        1.4.4), parallel (>= 3.6.1)
Suggests: sp (>= 1.2-0), grDevices
Imports: trend (>= 1.1.1), doParallel (>= 1.0.14), mapview (>= 2.7.0),
        RColorBrewer (>= 1.1-2)
NeedsCompilation: no
RoxygenNote: 7.2.0
Packaged: 2026-07-03 07:25:20 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-05-30 01:30:02 UTC
RemoteUrl: https://github.com/cran/sta
RemoteRef: HEAD
RemoteSha: 790c9b733b1ff20c6acb951eaa7dbbcc72832902