plot.sample.lt: Default Plotting Statement for Survey Sample of Line Transect...

In dill/wisp: Wildlife Simulation Package (wisp)

Description

This function generates a graphical representation of the specified 'sample.lt´ object.

Usage

        plot(samp, type = "hist", show.sizes = TRUE, show.exps = TRUE, dsf = 0.5,
             whole.population = FALSE, show.paths = TRUE, ...)

Arguments

samp	object of class 'sample.lt´.
type	Denotes the type of plot that is shown. * If "locations", the group locations in the region is shown, with the survey area shaded in, and each observation indicated by a red dot. * else, a histogram of number of observations against perpendicular distance from transect is plotted.
show.sizes	if TRUE different animal group sizes are shown as dots of different sizes.
show.exps	if TRUE different group exposures are shown in different shading.
dsf	enlargement factor for group dots.
whole.population	if TRUE undetected animal groups will be shown in black, as well as detected animal groups shown in red. TRUE is only possible if type="region".
show.paths	if TRUE the transect paths will be added as arrows pointing into the direction of the current transect.

Details

This function displays the result of a survey sample. It shows a picture of the region, the survey units and indicates the detected animal groups as red dots.

See Also

setpars.survey.lt, generate.sample.lt summary.sample.lt

Examples

lt.reg <- generate.region(x.length = 100, y.width = 50)
lt.dens <- generate.density(lt.reg)

#heterogeneous population
lt.poppars<-setpars.population(density.pop = lt.dens, number.groups = 1000, size.method = "poisson",
                               size.min = 1, size.max = 30, size.mean = 10, exposure.method = "beta",
                               exposure.min = 0, exposure.max = 1, exposure.mean = 0.4,
                               exposure.shape = 0.5, type.values=c("Male","Female"),
                               type.prob=c(0.48,0.52))
lt.pop<-generate.population(lt.poppars)

lt.despars<-setpars.design.lt(lt.reg, n.transects=10, n.units=10, visual.range=4, percent.on.effort=1)
lt.des<-generate.design.lt(lt.despars, seed=3)
lt.survpars<-setpars.survey.lt(lt.pop, lt.des, disthalf.min=2, disthalf.max=4)
lt.samp<-generate.sample.lt(lt.survpars)

plot(lt.samp)
plot(lt.samp, type="locations", dsf=0.25)

dill/wisp documentation built on May 15, 2019, 8:31 a.m.