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.hypothesisSpatialPoints* 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