calcPatchIsolation: Calculate the KNN distance between patches in a binary raster...
In ktaylora/landscapeAnalysis: Landscape Analysis

Description Usage Arguments

Calculate the KNN distance between patches in a binary raster (or raster(s); a vector or list) specified by r=RasterLayer. You can either return the KNN index or some statistic (e.g., mean) specified by fun=. The default action is to return the full index. I have added multi-core support and use the gdal backend by default for this analysis. It's much faster than doing it in pure 'R'.

1 2	calcPatchIsolation(r, fun = NULL, k = 1, method = "gdal", from = "centroid", parallel = FALSE)

`fun`	a function that is applied to all KNN distances (i.e., for calculating mean/median/mode distances).
`k`	the K (e.g., 1,2,3) value used for our K nearest-neighbor calculation.
`method`	string specifying whether 'gdal' or 'R' is used to vectorize our raster patches for the KNN calculation.
`from`	string specifying whether to calculate patch issolation distances from the 'edges' (i.e., minimum distance) or patch 'centroid'. default is 'edges'.
`parallel`	TRUE/FALSE specifying whether to parallelize our vectorization / KNN operations.