renumber.duplicates

dataframe containing a single dataset with duplicate 
observations

ddf.dat

dataframe of observation records with fields object,
Region.Label, and Sample.Label which give links to sample.table,
region.table and the data records used in <code>model</code>

obs.table

boolean indicating if it is a double observer survey

double.observer

Find the largest object ID and renumbers all duplicate IDs starting form 
this value. The information for the duplicates is also added to the obs.table

internal

Performs distance sampling analyses on a number of species
at once and can account for unidentified sightings, model uncertainty
and covariate uncertainty. Unidentified sightings refer to sightings
which cannot be allocated to a single species but may instead be
allocated to a group of species. The abundance of each unidentified
group is estimated and then prorated to the species estimates. Model
uncertainty should be incorporated when multiple models give equally
good fit to the data but lead to large differences in estimated
density / abundance. Covariate uncertainty should be incorporated
when covariates cannot be measured accurately, for example this is
often the case for group size in marine mammal surveys. Variance
estimation for these methods is via a non parametric bootstrap.
The methods implemented are described in Gerodette T. and Forcada
J. (2005) <doi:10.3354/meps291001> Non-recovery of two spotted and
spinner dolphin populations in the eastern tropical Pacific Ocean.

renumber.duplicates: Renumbers the object IDs for the duplicate observations generated when bootstrapping

Description

Usage

Arguments

Value

See Also