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gapfill (version 0.9.3)

Fill Missing Values in Satellite Data

Description

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.

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Version

Install

install.packages('gapfill')

Monthly Downloads

99

Version

0.9.3

License

GPL (>= 2)

Maintainer

Florian Gerber

Last Published

May 4th, 2016

Functions in gapfill (0.9.3)

Array2Matrix

Convert an Array with 4 Dimensions into a Matrix
Image

Image Panels
Score

Score Columns of a Matrix Containing NAs by its Values
Extend

Implement an Alternative Gap-fill Algorithm
gapfill-package

Overview
Subset-Predict

Subset and Predict Functions
ArrayAround

Subset an Array with 4 dimensions
Index

Index Conversions
Validate

Validation with RMSE
Gapfill

Main Function for Gap-Filling
ndvi

NDVI Data from Alaska
EstimateQuantile

Estimate the Quantile of a Missing Value