gapfill: Fill Missing Values in Satellite Data

Tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data (images) observed at equally-spaced points in time. The package is illustrated with MODIS NDVI data.

Version: 0.9.6-1
Depends: R (≥ 3.1), ggplot2 (≥ 2.2.1)
Imports: fields, foreach (≥ 1.4), Rcpp (≥ 0.12.1), quantreg (≥ 5.0)
LinkingTo: Rcpp
Suggests: roxygen2, spam, testthat, abind
Enhances: raster, doParallel, doMPI
Published: 2021-02-12
Author: Florian Gerber ORCID iD [aut, cre]
Maintainer: Florian Gerber <flora.fauna.gerber at gmail.com>
BugReports: https://github.com/florafauna/gapfill/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/florafauna/gapfill
NeedsCompilation: yes
Citation: gapfill citation info
Materials: README NEWS
In views: MissingData, SpatioTemporal
CRAN checks: gapfill results

Downloads:

Reference manual: gapfill.pdf
Package source: gapfill_0.9.6-1.tar.gz
Windows binaries: r-devel: gapfill_0.9.6-1.zip, r-devel-UCRT: gapfill_0.9.6-1.zip, r-release: gapfill_0.9.6-1.zip, r-oldrel: gapfill_0.9.6-1.zip
macOS binaries: r-release (arm64): gapfill_0.9.6-1.tgz, r-release (x86_64): gapfill_0.9.6-1.tgz, r-oldrel: gapfill_0.9.6-1.tgz
Old sources: gapfill archive

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