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Intrapolate missing values of matrix

Source: R/utils.R
intrapolate_2D.Rd

This intrapolation algorithm replaces internal missing values in a matrix. It does so in the following steps:

  • Calculate separate intrapolations in four directions: rows, columns, NWSE diagonals (upper left down to lower right), and SWNE diagonals (lower left up to upper right). The intrapolations in each direction is based on the algorithm of intrapolate_1D(). (See details there.)

  • The 2D intrapolation is the mean intrapolation from any of the four values. In taking the mean, missing intrapolations are removed.

  • When there is no intrapolation available from any of the four directions, the missing value remains missing.

Usage

intrapolate_2D(mx, consolidate = TRUE)

Arguments

mx

numeric matrix. A numeric matrix.

consolidate

logical(1). See return value.

Value

If consolidate = TRUE (default), returns a numeric matrix of the same dimensions as the input mx with internal missing values linearly intrapolated. If consolidate = FALSE, returns a list of intrapolations for missing values from each of the four directions (rows, columns, NWSE diagonal, and SWNE diagonal).