Description Usage Arguments Details Value Examples
Simulates the process by which individuals / clusters are detected. Currently this is only implemented for line transect surveys. It returns an object of class LT.Survey.Results which contains a population, a set of transects, distance data and if requested region, sample and obs tables.
1 2 3 4 5 6 7 8 9 10 | create.survey.results(object, dht.tables = FALSE, ...)
## S4 method for signature 'Simulation'
create.survey.results(object, dht.tables = FALSE, ...)
## S4 method for signature 'Single.Obs.LT.Survey'
create.survey.results(object, dht.tables = FALSE, ...)
## S4 method for signature 'Single.Obs.PT.Survey'
create.survey.results(object, dht.tables = FALSE, ...)
|
object |
an object of class Simulation |
dht.tables |
logical value indicating whether or the data tables for Hortvitz-Thompson estimation are required. |
... |
allows a region object to be passed in |
This object can be displayed using plot()
or the distance data
extracted using get.distance.data()
. You can then investigate
fitting models to this data.
an object of class LT.Survey.Results
1 2 3 4 5 6 | ## Not run:
survey.results <- create.survey.results(simulation, dht.table = TRUE)
plot(survey.results)
## End(Not run)
|
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