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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.
Subset
and Predict
functions and
run alternative prediction algorithms with little effort.
See ?Extend
for more information and examples.The package can be installed with
R> install.packages("gapfill")
To get started see the example in
R> ?Gapfill
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