Package: sptrends
Title: Statistical Inference for Spatiotemporal Trends in Gridded Data
Version: 1.6.3
Language: en-GB
Authors@R: c(
    person("Oliver", "Gutiérrez-Hernández", , "olivergh@uma.es", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2580-5465", affiliation = "Department of Geography, University of Málaga, Málaga, Spain")),
    person("Luis V.", "García", role = "aut",
           comment = c(ORCID = "0000-0002-5514-2941", affiliation = "Institute of Natural Resources and Agrobiology of Seville (IRNAS), Spanish National Research Council (CSIC), Seville, Spain")))
Description: Provides a unified and reproducible framework for
        statistical inference of spatiotemporal trends in gridded
        environmental data. The framework addresses the interconnected
        challenges of serial correlation, spatial dependence and
        multiple testing that commonly arise when analysing gridded
        environmental time series. Its core methods support
        serial-correlation treatment through trend-preserving
        prewhitening, pixel-wise and spatially explicit trend
        inference, slope estimation and multiple-testing correction.
        These methods may be applied independently or integrated within
        configurable analytical workflows. Dedicated workflows are also
        provided to reproduce methodologies published in the scientific
        literature: Gutiérrez-Hernández and García (2025)
        <doi:10.1016/j.rsase.2024.101377> for the True Significant
        Trends workflow, Gutiérrez-Hernández and García (2024)
        <doi:10.3390/rs16203886> for the Robust Trend Analysis
        workflow, and Gutiérrez-Hernández and García (2025)
        <doi:10.3390/math13223630> for the adaptive false discovery
        rate procedure. Supporting utilities facilitate raster data
        import and inspection, anomaly calculation, spatial
        autocorrelation diagnostics, simulation studies, benchmarking,
        visualisation, mapping, and reporting.
License: GPL (>= 3)
URL: https://github.com/Olive-r/sptrends,
        https://olive-r.github.io/sptrends/
BugReports: https://github.com/Olive-r/sptrends/issues
Depends: R (>= 4.1)
Imports: terra (>= 1.7-0), Matrix, parallel, stats, utils, graphics,
        grDevices, withr (>= 2.2.0)
Suggests: fields, testthat (>= 3.2.0), knitr, rmarkdown, ncdf4,
        Kendall, modifiedmk, rkt, robslopes, trend, zyp
VignetteBuilder: knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://olive-r.r-universe.dev
Date/Publication: 2026-10-10 13:21:13 UTC
RemoteUrl: https://github.com/olive-r/sptrends
RemoteRef: HEAD
RemoteSha: 4c3413de8dd2efe86edeb7ffad4c9aa655313436
NeedsCompilation: no
Packaged: 2026-10-10 13:58:55 UTC; root
Author: Oliver Gutiérrez-Hernández [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2580-5465>, affiliation: Department of
    Geography, University of Málaga, Málaga, Spain),
  Luis V. García [aut] (ORCID: <https://orcid.org/0000-0002-5514-2941>,
    affiliation: Institute of Natural Resources and Agrobiology of
    Seville (IRNAS), Spanish National Research Council (CSIC), Seville,
    Spain)
Maintainer: Oliver Gutiérrez-Hernández <olivergh@uma.es>