SitesInterest (version 1.0)

plot_radii_results: Plots the results from using different radii

Description

Plots the results (maximum percent drop and number of identified sites) from already calculated residence times for different radii values.

Usage

plot_radii_results(Name, Radii, first = 'n', legend_loc = "topright")

Arguments

Name

name of the data, which is used for any saved files and plot titles

Radii

set of radius values

first

if 'y', the algorithm will look for the second greatest maximum percent drop if the first results in the first circle being the only non-identified site

legend_loc

location of the legend

Value

Plot of results from various radius values

Details

After finding the residence times for various radii values using Alt_Alg, this function plots the number of identified sites of interest and their corresponding maximum percent drops for each radii value. This plot could be used to identify which radius value to use.

References

Munden, R., Borger , L., Wilson, R.P., Redcliffe, J., Loison, A., Garel, M. and Potts, J.P. in review. Making sense of ultra-high-resolution movement data: an algorithm for inferring sites of interest.

See Also

See also Alt_Alg to find the residence times. Sites can be used to find the number of identified sites of interest and corresponding maximum percent drop from the csv files produced by Alt_Alg.

Examples

# NOT RUN {
##Find the current working directory
wd = getwd()
##Set the working directory as the temporary one
setwd(tempdir())
##Load the data
data(OU_14)
t=unlist(OU_14["t"])
X=unlist(OU_14["X"])
Y=unlist(OU_14["Y"])

##Run the algorithm for multiple radii values
Radii=seq(0.2,1.0,0.1)
for (R in Radii){
  Alt_Alg("OU_14",t,X,Y,R,first='y',save='y')}

##Plot the results (i.e. maximum percent drop and number of sites identified) from applying
##the algorithm with various radius values
plot_radii_results("OU_14",Radii,first='y')

##The location of the legend can be changed
plot_radii_results("OU_14",Radii,first='y', legend_loc="bottomleft")

##Reset the original working directory
setwd(wd)
# }