Man pages for DSpat
Spatial Modelling for Distance Sampling Data
| 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 |
| DSpat.covariates | Raster covariates study area |
| DSpat.lines | Example DSpat lines dataframe |
| DSpat.obs | Observation dataframe for DSpat |
| DSpat-package | Spatial modelling package for distance sampling data |
| integrate.intensity | Integrated intensity of fitted model |
| internal | Internal DSpat functions |
| lgcp.correction | Calculate Overdispersion factor for IPP fit via Monte Carlo... |
| lines.to.strips | Convert lines to transects (strips) |
| LTDataFrame | Creates covariate dataframes |
| 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... |
| simCovariates | Simulates covariates for an example in DSpat |
| simDSpat | Simulate a distance sample from a specified spatial point... |
| simPts | Simulates point process on a rectangular grid |
| transect.intensity | Compute expected and observed counts by distance within... |
| 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 |
