bru_fill_missing: Fill in missing values in Spatial grids

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Fill in missing values in Spatial grids

Description

Computes nearest-available-value imputation for missing values in space

Usage

bru_fill_missing(
  data,
  where,
  values,
  layer = NULL,
  selector = NULL,
  batch_size = deprecated()
)

Arguments

data	A SpatialPointsDataFrame, SpatialPixelsDataFrame, SpatialGridDataFrame, SpatRaster, Raster, or sf object containing data to use for filling
where	A, matrix, data.frame, or SpatialPoints or SpatialPointsDataFrame, or sf object, containing the locations of the evaluated values
values	A vector of values to be filled in where is.na(values) is TRUE
layer, selector	Specifies what data column or columns from which to extract data, see bru_comp() for details.
batch_size	due to improved algorithm. Size of nearest-neighbour calculation blocks, to limit the memory and computational complexity.

Value

An infilled vector of values

Examples

## Not run: 
if (bru_safe_inla()) {
  points <-
    sp::SpatialPointsDataFrame(
      matrix(1:6, 3, 2),
      data = data.frame(val = c(NA, NA, NA))
    )
  input_coord <- expand.grid(x = 0:7, y = 0:7)
  input <-
    sp::SpatialPixelsDataFrame(
      input_coord,
      data = data.frame(val = as.vector(input_coord$y))
    )
  points$val <- bru_fill_missing(input, points, points$val)
  print(points)

  # To fill in missing values in a grid:
  print(input$val[c(3, 30)])
  input$val[c(3, 30)] <- NA # Introduce missing values
  input$val <- bru_fill_missing(input, input, input$val)
  print(input$val[c(3, 30)])
}

## End(Not run)

inlabru documentation built on Aug. 9, 2025, 1:08 a.m.