getValuesFocal.Rd
This function returns a matrix (or matrices) for all focal values of a number of rows of a Raster* object
# S4 method for class 'Raster'
getValuesFocal(x, row, nrows, ngb, names=FALSE, padValue=NA, array=FALSE, ...)
Raster* object
Numeric. Row number, should be between 1 and nrow(x). Can be omitted to get all rows
Numeric. Number of rows, should be a positive integer smaller than row+nrow(x)
. Should be omitted if row
is omitted
Neighbourhood size. Either a single integer or a vector of two integers c(nrow, ncol)
logical. If TRUE
, the matrix returned has row and column names
numeric. The value of the cells of the "padded" rows and columns. That is 'virtual' values for cells within a neighbourhood, but outside the raster
logical. If TRUE
and x
has multiple layers, an array is returned in stead of a list of matrices
additional arguments (none implemented)
If x
has a single layer, a matrix with one row for each focal cell, and one column for each neighbourhood cell around it.
If x
has multiple layers, an array (if array=TRUE
) or a list of such matrices (one list element (matrix) for each layer)
r <- raster(nr=5, nc=5, crs='+proj=utm +zone=12')
values(r) <- 1:25
as.matrix(r)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 1 2 3 4 5
#> [2,] 6 7 8 9 10
#> [3,] 11 12 13 14 15
#> [4,] 16 17 18 19 20
#> [5,] 21 22 23 24 25
getValuesFocal(r, row=1, nrows=2, ngb=3, names=TRUE)
#> r1c1 r1c2 r1c3 r2c1 r2c2 r2c3 r3c1 r3c2 r3c3
#> 1 NA NA NA NA 1 2 NA 6 7
#> 2 NA NA NA 1 2 3 6 7 8
#> 3 NA NA NA 2 3 4 7 8 9
#> 4 NA NA NA 3 4 5 8 9 10
#> 5 NA NA NA 4 5 NA 9 10 NA
#> 6 NA 1 2 NA 6 7 NA 11 12
#> 7 1 2 3 6 7 8 11 12 13
#> 8 2 3 4 7 8 9 12 13 14
#> 9 3 4 5 8 9 10 13 14 15
#> 10 4 5 NA 9 10 NA 14 15 NA
getValuesFocal(stack(r,r), row=1, nrows=1, ngb=3, names=TRUE, array=TRUE)
#> , , layer.1
#>
#> r1c1 r1c2 r1c3 r2c1 r2c2 r2c3 r3c1 r3c2 r3c3
#> 1 NA NA NA NA 1 2 NA 6 7
#> 2 NA NA NA 1 2 3 6 7 8
#> 3 NA NA NA 2 3 4 7 8 9
#> 4 NA NA NA 3 4 5 8 9 10
#> 5 NA NA NA 4 5 NA 9 10 NA
#>
#> , , layer.2
#>
#> r1c1 r1c2 r1c3 r2c1 r2c2 r2c3 r3c1 r3c2 r3c3
#> 1 NA NA NA NA 1 2 NA 6 7
#> 2 NA NA NA 1 2 3 6 7 8
#> 3 NA NA NA 2 3 4 7 8 9
#> 4 NA NA NA 3 4 5 8 9 10
#> 5 NA NA NA 4 5 NA 9 10 NA
#>