Package: npphen
Type: Package
Title: Vegetation Phenological Cycle and Anomaly Detection using Remote
        Sensing Data
Version: 2.0.1
Date: 2025-04-11
Maintainer: José A. Lastra <jose.lastra@pucv.cl>
Description: Calculates phenological cycle and anomalies using a
        non-parametric approach applied to time series of vegetation
        indices derived from remote sensing data or field measurements.
        The package implements basic and high-level functions for
        manipulating vector data (numerical series) and raster data
        (satellite derived products). Processing of very large raster
        files is supported. For more information, please check the
        following paper: Chávez et al. (2023) <doi:10.3390/rs15010073>.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Imports: terra (>= 1.5-17), ks, methods, graphics, stats, lubridate
Suggests: parallel, tcltk, leaflet, sf
Encoding: UTF-8
URL: https://github.com/labGRS/npphen, https://labgrs.github.io/npphen/
BugReports: https://github.com/labGRS/npphen/issues
Roxygen: list(old_usage = TRUE)
RoxygenNote: 7.3.2
NeedsCompilation: no
LazyData: true
Authors@R: c(
	person("Roberto O.", "Chávez", role="aut", comment=c(ORCID="0000-0001-6782-3579")),			
    person("Sergio A.", "Estay", role="aut", comment=c(ORCID="0000-0002-3797-8964")),
    person("José A.", "Lastra", role=c("cre","ctb"),
    email = "jose.lastra@pucv.cl", comment=c(ORCID="0000-0002-6159-2201")),
    person("Carlos G.", "Riquelme", role="ctb", comment=c(ORCID="0000-0003-4861-8355"))
    )
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://labgrs.r-universe.dev
Date/Publication: 2025-09-21 14:44:18 UTC
RemoteUrl: https://github.com/labgrs/npphen
RemoteRef: HEAD
RemoteSha: 3e8775c3de2236cd80388374181b0528005d33ae
Packaged: 2026-06-20 10:39:14 UTC; root
Author: Roberto O. Chávez [aut] (ORCID:
    <https://orcid.org/0000-0001-6782-3579>),
  Sergio A. Estay [aut] (ORCID: <https://orcid.org/0000-0002-3797-8964>),
  José A. Lastra [cre, ctb] (ORCID:
    <https://orcid.org/0000-0002-6159-2201>),
  Carlos G. Riquelme [ctb] (ORCID:
    <https://orcid.org/0000-0003-4861-8355>)