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: 2022-05-30 00:41:27 UTC; itecuapetla
Repository: CRAN
Date/Publication: 2022-05-30 02:30:02 UTC
Built: R 4.6.0; ; 2025-12-17 05:03:02 UTC; windows
