Description Usage Arguments Details Value
Runs a simulation of home range behavior based on nest and conspecific locations and a logistic function for angle bias
1 2 | SimulateHomeRange(steps, start_xy, homerange, mu, rho, extent, extend,
redist_plots, arrow_plots, alpha)
|
steps |
number of locations |
start_xy |
animal's starting longitude and latitude. |
homerange |
homerange kernel raster |
mu |
wrapped Cauchy mu parameter, default is 0 |
rho |
wrapped Cauchy rho parameter |
col |
color palette for base raster, default is jet2.col() |
extend |
integer, changes the extent of the plots to a certain number of cells around the prob_raster. Default is 0. |
extent |
sets a fixed extent for plots, default is NULL which uses the extent of the homerange raster |
redist_plots |
save all of the redistribution kernel probability plots in the working directory. Default is FALSE. |
arrow_plots |
save all of the redistribution kernel probability plots with movement arrows in the working directory. Default is FALSE. |
alpha |
alpha (i.e., transparency) value for plotting the redistribution kernels. Default is .9 |
Still a work in progress. May modify code so all of the redistribution kernels are saved as a RasterStack. This would allow the legend scale to be set at fixed values and to potentially create ArcGIS rasters and KMLs after the simultion is run.
Dataframe with simulation data
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