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Showing content from http://cran.rstudio.com/web/packages/SpatialTools/../Rcpp/../gapfill/readme/README.html below:

README

The package provides tools to fill missing values in satellite data. It can be used to gap-fill, e.g., MODIS NDVI data, and is helpful for the development of new gap-fill algorithms. The predictions are based on a subset-predict procedure, i.e., each missing value is predicted separately by (1) subsetting the data to a neighborhood around it and (2) predict the values based on that subset.

• Gap-filling can be executed in parallel.
• Users may define Subset and Predict functions and run alternative prediction algorithms with little effort. See ?Extend for more information and examples.
• The visualization of space-time data is simplified through the ggplot2 based function Image.

The package can be installed with

R> install.packages("gapfill")

To get started see the example in

R> ?Gapfill

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