raster2Graph: Create a graph from an raster according the connection...

In habCluster: Detecting Spatial Clustering Based on Connection Cost Between Grids

Create a graph from an raster according the connection between cells

Description

Create a graph from an raster according the connection between cells

Usage

raster2Graph(r, cellsize = NULL, relative.distance = TRUE, silent = TRUE)

Arguments

r	An object of stars or RasterLayer. The value of each cell of the raster is the ‘smoothness’ to indicate how easy the cell connecting with neighbor cells.
cellsize	Numeric. Re-sample the input raster to given resolution and use the re-sampled raster to build graph. Set this to NULL if using the original resolution of of the input raster.
relative.distance	Boolean. If fasle, absolute distance between cells is used to compute the edge weight; otherwise, relative distance between cells is used. Default is true
silent	Boolean. A logical indicating if some “progress report” should be given. Default is TRUE.

Value

a list with an graph and the re-sampled raster (a object of stars). The graph is igraph object, with cells as node and connections as weight.

Examples

# read in habitat suitability data of wolf in Europe
library(stars)
hsi.file = system.file("extdata","wolf3_int.tif",package="habCluster")
wolf = read_stars(hsi.file)
# build graph from raster
g = raster2Graph(wolf, 40000)

habCluster documentation built on May 25, 2022, 5:05 p.m.