Description Usage Arguments Value Examples

View source: R/rasterLocalMoments.R

`rasterLocalMoments`

finds the local moments within the weighted neighborhood
of W.

1 | ```
rasterLocalMoments(r, WMu, WVar = WMu, moments = 2)
``` |

`r` |
An in memory raster image. |

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

`WVar` |
A matrix of weights. The variance kernel will be applied at each centroid. Dimensions must be non-zero and odd. Only non-missing neighbors are used in the variance. The dimensions of WVar must match WMu. |

`moments` |
The number of moments to calculate. The local spatial mean will be calculated when moments=1. The local spatial mean and variance wil be calculated when moments=2. Currently no higher moments are supported. |

A list of in memory raster images, one list element for each moment.

1 2 3 | ```
r <- raster::raster( matrix(rnorm(36),6,6))
W <- matrix(1,3,3)
rLocalMoments <- rasterLocalMoments(r,W)
``` |

jlisic/rasterKernelEstimates documentation built on May 17, 2017, 11:24 p.m.

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