These have been deprecated and will be removed in a future release.

gsGOC(mpg, nThresh = NULL, doThresh = NULL, weight = "lcpPerimWeight",
sp = FALSE, verbose = 3)

gsGOCCorridor(GOC, whichThresh, coords, doPlot = FALSE,
weight = "meanWeight")

gsGOCDistance(GOC, coords, weight = "meanWeight")

gsGOCPoint(GOC, coords)

gsGOCVisualize(GOC, whichThresh, sp = FALSE, doPlot = FALSE)

visualize(GOC, whichThresh, sp = FALSE, doPlot = FALSE)

gsGraphDataFrame(x)

gsMPG(cost, patch, sa = NULL, filterPatch = NULL, spreadFactor = 0)

## Arguments

mpg A mpg object. Optional. An integer giving the number of thresholds (or scales) at which to create GOC models. Thresholds are selected to produce a maximum number of unique grains (i.e., models). nThresh thresholds are also approximately evenly spread between 0 and the threshold at which all patches or focal points on the landscape are connected. This is a simple way to get a representative subset of all possible GOC models. Provide either nThresh or doThresh not both. Optional. A vector giving the link thresholds at which to create GOC models. Use link{threshold} to identify thresholds of interest. Provide either nThresh or doThresh not both. A string giving the link weight or attribute to use for threshold. "lcpPerimWeight" uses the accumulated resistance or least-cost path distance from the perimeters of patches as the link weight. "eucPerimWeight" use the Euclidean distance from the perimeters of patches as the link weight. Logical. If TRUE the rgeos package is used to create a vector of class SpatialPolygonsDataFrame describing the finest grain of connectivity. Set verbose=0 for no progress information to console. A goc object. Integer giving the index of the threshold to visualize. A two column matrix or a SpatialPoints object giving coordinates at the end points of the corridor. Logical. If TRUE plots a vector visualization of the corridor at the given scale A mpg object produced by MPG. For lattice GOC MPG must be run with patch set as an integer value. A RasterLayer giving a landscape resistance surface, where the values of each raster cell are proportional to the resistance to movement, dispersal, or gene flow for an organism in the landscape feature they represent. Missing values NA are acceptable (but see below). Negative values are not. To extract an MPG with Euclidean links (i.e., and not least-cost path links) set cost[] <- 1. A raster of class RasterLayer for a patch-based analysis OR an integer for a lattice analysis. If a raster is given it must be of the same extent, origin and projection as cost and be binary, without missing values, where patches=1 and non-patches=0. For lattice analyses, an integer gives the spacing in raster cells between focal points in the lattice. No longer used.

## Note

the sp argument has also been deprecated from all functions.