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npphen: Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data

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>.

Version: 2.0.0
Depends: R (≥ 3.6.0)
Imports: terra (≥ 1.5-17), ks, methods, graphics, stats, lubridate
Suggests: parallel, tcltk, leaflet, sf
Published: 2023-10-12
DOI: 10.32614/CRAN.package.npphen
Author: Roberto O. Chávez [cre, aut], Sergio A. Estay [cre, aut], José A. Lastra [cre,ctb] & Carlos G. Riquelme [ctb]
Maintainer: José A. Lastra <jose.lastra at pucv.cl>
BugReports: https://github.com/labGRS/npphen/issues
License: GPL (≥ 3)
URL: https://github.com/labGRS/npphen, https://labgrs.github.io/npphen/
NeedsCompilation: no
Citation: npphen citation info
CRAN checks: npphen results

Documentation:

Reference manual: npphen.pdf

Downloads:

Package source: npphen_2.0.0.tar.gz
Windows binaries: r-devel: npphen_2.0.0.zip, r-release: npphen_2.0.0.zip, r-oldrel: npphen_2.0.0.zip
macOS binaries: r-release (arm64): npphen_2.0.0.tgz, r-oldrel (arm64): npphen_2.0.0.tgz, r-release (x86_64): npphen_2.0.0.tgz, r-oldrel (x86_64): npphen_2.0.0.tgz
Old sources: npphen archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.