This version uses just turn angles and step lengths to define the correlated random walk.
move(hypothesis = "crw", ...)
crw(agent, extent, stepLength, stddev, lonlat, torus = FALSE)
"crw"(agent, extent, stepLength, stddev, lonlat, torus = FALSE)
"crw"(agent, extent, stepLength, stddev, lonlat, torus = FALSE)
crw
.hypothesis
SpatialPoints*
object.
If a SpatialPointsDataFrame
, 2 of the columns must
be x1
and y1
, indicating the previous location.
If a SpatialPoints
object, then x1
and
y1
will be assigned randomly.Extent
object that will be used for torus
.TRUE
, coordinates should be in degrees.
If FALSE
coordinates represent planar ('Euclidean')
space (e.g. units of meters)extent
argument.
Default FALSE
.McIntire, E. J. B., C. B. Schultz, and E. E. Crone. 2007. Designing a network for butterfly habitat restoration: where individuals, populations and landscapes interact. Journal of Applied Ecology 44:725-736.
pointDistance