CRAN

gapfill 0.9.6

Fill Missing Values in Satellite Data

Released Apr 6, 2018 by Florian Gerber

This package can be loaded by Renjin but 4 out 10 tests failed.

Dependencies

quantreg 5.36 fields 9.6 foreach 1.4.4 ggplot2 2.2.1 Rcpp

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>gapfill</artifactId>
    <version>0.9.6-b3</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:gapfill')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

R
C++

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Release History