Simulation-class: Class "Simulation"
In DSsim: Distance Sampling Simulations

Description Slots Methods See Also

Class "Simulation" is an S4 class containing descriptions of the region, population, survey design and analyses the user wishes to investigate. Once the simulation has been run the N.D.Estimates will contain multiple estimates of abundance and density obtained by repeatedly generating populations, simulating the survey and completing the analyses.

reps: Object of class "numeric"; the number of times the simulation should be repeated.
single.transect.set: Object of class "logical"; if TRUE the same set of transects are used in each repetition.
double.observer: Object of class "logical"; whether a double observer protocol is being used. Not currently implemented.
region: Object of class "Region"; the survey region.
design: Object of class "Survey.Design"; the survey design.
population.description: Object of class "Population.Description"; the population.description.
detectability: Object of class "Detectability"; a description of the detectability of the population.
ddf.analyses: Object of class "list"; a list of objects of class DDF.Analysis. These are fitted and the one with the minimum criteria is selected and used in predicting N and D.
dsm.analysis: Object of class "DSM.Analysis"; Not yet implemented.
ddf.param.ests: Object of class "array"; stores the parameters associated with the detection function.
results: A "list" of "arrays"; stores the estimated of abundance and density as well as other measures of interest.
warnings: A "list" to store warnings and error messages encountered during runtime.

add.hotspot: signature=(object = "Simulation"): adds a hotspot based on a gaussian decay to the density surface.
summary: signature=(object = "Simulation"): produces a summary of the simulation and its results.
generate.population: signature = (object = "Simulation"): generates a single instance of a population.
generate.transects: signature = (object = "Simulation"): generates a single set of transects.
create.survey.results: signature = (object = "Simulation"): carries out the simulation process as far as generating the distance data and returns an object containing the population, transects and data.
run.analysis: signature = c(object = "Simulation", data = "LT.Survey.Results"): returns the ddf analysis results from the models in the simulation fitted to the data in the LT.Survey.Results object.
run.analysis: signature = c(object = "Simulation", data = "DDF.Data"): returns the ddf analysis results from the models in the simulation fitted to the data in the DDF.Data object.
run: signature = (object = "Simulation"): runs the whole simulation for the specified number of repetitions.