toygroups: Simulated 1D animal group locations and group sizes

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Simulated 1D animal group locations and group sizes

Description

This data set serves to teach the concept of modelling species that gather in groups and where the grouping behaviour depends on space.

Usage

data(toygroups)

Format

The data are a list that contains these elements:

groups:

A data.frame of group locations x and size size

df.size:

IGNORE THIS

df.intensity:

A data.frame with Poisson process intensity d.lambda at locations x

df.rate:

A data.frame the locations x and associated rate which parameterized the exponential distribution from which the group sizes were drawn.

Examples

if (require(ggplot2, quietly = TRUE)) {
  # Load the data

  data("toygroups", package = "inlabru")

  # The data set is a simulation of animal groups residing in a 1D space. Their
  # locations in x-space are sampled from a Cox process with intensity

  ggplot(toygroups$df.intensity) +
    geom_line(aes(x = x, y = g.lambda))

  # Adding the simulated group locations to this plot we obtain

  ggplot(toygroups$df.intensity) +
    geom_line(aes(x = x, y = g.lambda)) +
    geom_point(data = toygroups$groups, aes(x, y = 0), pch = "|")

  # Each group has a size mark attached to it.
  # These group sizes are sampled from an exponential distribution
  # for which the rate parameter depends on the x-coordinate

  ggplot(toygroups$groups) +
    geom_point(aes(x = x, y = size))

  ggplot(toygroups$df.rate) +
    geom_line(aes(x, rate))
}

inlabru documentation built on Nov. 2, 2023, 6:07 p.m.