DSpat-package           Spatial modelling package for distance sampling
                        data
DSpat.covariates        Raster covariates study area
DSpat.lines             Example DSpat lines dataframe
DSpat.obs               Observation dataframe for DSpat
LTDataFrame             Creates covariate dataframes
Ops.psp                 Internal DSpat functions
create.covariate.images
                        Create a list of covariate images
create.lines            Create a systematic sample of parallel lines
                        across a grid
create.points.by.offset
                        Create point dataframe offset from line
dist2line               Compute perpendicular distances and projections
                        onto line
dspat                   Fits spatial model to distance sampling data
integrate.intensity     Integrated intensity of fitted model
lgcp.correction         Calculate Overdispersion factor for IPP fit via
                        Monte Carlo Integration
lines_to_strips         Convert lines to transects (strips)
offset.points           Offset points from the line to actual position
project2line            Project points onto line
quadscheme.lt           Create line transect quadrature for spatstat
sample.points           Sample points within each transect and filter
                        with specified detection function
simCovariates           Simulates covariates for an example in DSpat
simDSpat                Simulate a distance sample from a specified
                        spatial point process
simPts                  Simulates point process on a rectangular grid
transect.intensity      Compute expected and observed counts by
                        distance within transect
weeds                   Dubbo weed data
weeds.all               Dubbo weed data with constructed y-coordinate
weeds.covariates        Covariate grid for Dubbo weed data
weeds.lines             Transect lines from Dubbo weed data
weeds.obs               Observations from Dubbo weed data
