Description Usage Arguments Details Value Examples

`rasterLocalCategoricalModes`

finds the most popular category within the
weighted neighborhood of `W`

.

1 |

`r` |
An in memory raster image. Pixels should be whole numbers or |

`W` |
A matrix of weights. The modal kernel will be applied to each
pixel in |

A spatial neighborhood is calculated for each pixel in `r`

.
The spatial neighborhood for each pixel is defined by the weight matrix
`W`

, where the center of the odd dimensioned matrix `W`

is identified
with the target pixel. The target pixel value is replaced with the most
popular value within the neighborhood weighted by `W`

. Ties are
handled by randomly by uniformly selecting a category amongst the tied
categories. Only non-missing or neighbors with non-zero weights are used
in the calculation.

An in memory raster image by most popular categories.

1 2 3 | ```
r <- raster::raster( matrix(runif(81),9,9))
W <- matrix(1,3,3)
modeR <- rasterLocalCategoricalModes(r,W)
``` |

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