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Calculate cell values based on values of nearby cells

Source: R/focal.r
focal.Rd

This function calculates statistics on a moving "neighborhood" of cells of a raster. The neighborhood can be a square, circle, or a user-defined set of cells (with or without weights).

Usage

# S4 method for class 'GRaster'
focal(x, w = 3, fun = "sum", circle = FALSE, quantile = 0.5)

Arguments

x

A GRaster.

w

Numeric integer or a square matrix with an odd number of rows and columns: The size and nature of the neighborhood:

  • "Square" neighborhoods (when circle = FALSE): An odd integer >= 3, indicating indicates the size of a "square" neighborhood (number of cells wide and number or cells tall).

  • "Circular" neighborhoods (when circle = TRUE): An odd integer >=3, indicating the diameter of the circle.

  • A matrix of cell weights: The matrix must be square and have an odd number of rows and columns (example: matrix(c(0.5, 1, 0.5, 1, 2, 1, 0.5, 1, 0.5), nrow=3)). You cannot use a weights matrix when circle = TRUE. Cells with NA as a weight will be ignored. Note that weighted matrices should not be used for function min, max, count, nunique, or interspersion.

fun

Character: Name of the function to apply to the neighborhood:

  • "mean" (default)

  • "median"

  • "mode"

  • "min" or "max": Minimum or maximum. Should not use a weights matrix.

  • "range": Difference between the maximum and minimum. Should not use a weights matrix.

  • "sd": Sample standard deviation. NB: This is the same as the stats::sd() function.

  • "sdpop": Population standard deviation. NB: This is the same as the function "stddev" in the GRASS module r.neighbors.

  • "sum": Sum of non-`NA“ cells.

  • "count": Number of non-`NA cells. Should not use a weights matrix.

  • "var": Sample variance. NB: This is the same as the stats::var() function.

  • "varpop": Population variance. NB: This is the same as the function "variance" in the GRASS module r.neighbors.

  • "nunique": Number of unique values. Should not use a weights matrix.

  • "interspersion": Proportion of cells with values different from focal cell (e.g., if 6 of 8 cells have different values, then the interspersion is 6/8 = 0.75). NB: This is slightly different from how it is defined in the GRASS module r.neighbors. Should not use a weights matrix.

  • "quantile": Quantile of values. The value in argument quantile is used to specify the quantile.

The center cell value is always included in the calculations, and all calculations ignore NA cells (i.e., they do not count as cells in the focal neighborhood).

circle

Logical: If FALSE (default), use a square neighborhood. If TRUE, use a circular neighborhood. When this is TRUE, argument w cannot be a matrix.

quantile

Numeric between 0 and 1, inclusive: Quantile to calculate when fun = "quantile". The default value is 0.5 (median), and valid values must be in the range between 0 and 1, inclusive.

Value

A GRaster.

See also

terra::focal(), GRASS manual page for module r.neighbors (see grassHelp("r.neighbors"))

Examples

if (grassStarted()) {

# Setup
library(terra)

# Example data
madElev <- fastData("madElev")

# Convert a SpatRaster to a GRaster:
elev <- fast(madElev)

# Focal calculations:
sums <- focal(elev, fun = "sum")
means <- focal(elev, fun = "mean")

# Focal calculations on a circular window:
sds <- focal(elev, fun = "sd") # square
sdsCircle <- focal(elev, fun = "sd", circle = TRUE) # circle

sds
sdsCircle

plot(sds - sdsCircle)

# Focal calculations with user-defined weights:
w <- matrix(c(1, 0, 1, 0, 1, 0, 1, 0, 1), ncol = 3)
w
sumsWeighted <- focal(elev, fun = "sum", w = w)

s <- c(sums, sumsWeighted)
minmax(s)

}