Simulated 1D animal group locations and group sizes
This data set serves to teach the concept of modelling species that gather in groups and where the grouping behaviour depends on space.
data(toygroups)
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.
# 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))
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