These have been deprecated and will be removed in a future release.
Usage
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.- nThresh
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 eithernThresh
ordoThresh
not both.- doThresh
Optional. A vector giving the link thresholds at which to create GOC models. Use
threshold()
to identify thresholds of interest. Provide eithernThresh
ordoThresh
not both.- weight
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.- sp
Logical. If
TRUE
thesp
package is used to create a vector of classSpatialPolygonsDataFrame()
describing the finest grain of connectivity.- verbose
Set
verbose=0
for no progress information to console.- GOC
A
goc
object.- whichThresh
Integer giving the index of the threshold to visualize.
- coords
A two column matrix or a
SpatialPoints()
object giving coordinates at the end points of the corridor.- doPlot
Logical. If
TRUE
plots a vector visualization of the corridor at the given scale- x
A
mpg
object produced byMPG()
. For lattice GOCMPG
must be run with patch set as an integer value.- cost
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 valuesNA
are acceptable (but see below). Negative values are not. To extract an MPG with Euclidean links (i.e., and not least-cost path links) setcost[] <- 1
.- patch
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 ascost
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.- filterPatch, sa, spreadFactor
No longer used.