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 |

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