gapfill: Fill Missing Values in Satellite Data
Version 0.9.5-2

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.

AuthorFlorian Gerber
Date of publication2017-01-19 15:15:05
MaintainerFlorian Gerber <florian.gerber@math.uzh.ch>
LicenseGPL (>= 2)
Version0.9.5-2
URL https://git.math.uzh.ch/florian.gerber/gapfill
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gapfill")

Getting started

Package overview
README.md

Popular man pages

Array2Matrix: Convert an Array with 4 Dimensions into a Matrix
EstimateQuantile: Estimate the Quantile of a Missing Value
Extend: Implement an Alternative Gap-fill Algorithm
Gapfill: Main Function for Gap-Filling
gapfill-package: Overview
ndvi: NDVI Data from Alaska
Validate: Validation with RMSE
See all...

All man pages Function index File listing

Man pages

Array2Matrix: Convert an Array with 4 Dimensions into a Matrix
ArrayAround: Subset an Array with 4 dimensions
EstimateQuantile: Estimate the Quantile of a Missing Value
Extend: Implement an Alternative Gap-fill Algorithm
Gapfill: Main Function for Gap-Filling
gapfill-package: Overview
Image: Image Panels
Index: Index Conversions
ndvi: NDVI Data from Alaska
Score: Score Columns of a Matrix Containing NAs by its Values
Subset-Predict: Subset and Predict Functions
Validate: Validation with RMSE

Functions

Files

inst
inst/CITATION
tests
tests/run-all.R
tests/testthat
tests/testthat/test-Image.R
tests/testthat/test-Gapfill.R
tests/testthat/test-Subset.R
tests/testthat/test-Validate.R
tests/testthat/test-Score.R
tests/testthat/test-Predict.R
tests/testthat/test-Array2Matrix.R
src
src/gapfill.cpp
src/RcppExports.cpp
NAMESPACE
NEWS
data
data/ndvi.rda
R
R/RcppExports.R
R/gapfill.R
README.md
MD5
DESCRIPTION
man
man/Index.Rd
man/gapfill-package.Rd
man/Extend.Rd
man/ndvi.Rd
man/Validate.Rd
man/Score.Rd
man/Subset-Predict.Rd
man/ArrayAround.Rd
man/Array2Matrix.Rd
man/Gapfill.Rd
man/EstimateQuantile.Rd
man/Image.Rd
gapfill documentation built on May 19, 2017, 7:25 p.m.

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