inlabru (version 2.1.9)

Poisson1_1D: 1-Dimensional Homogeneous Poisson example.

Description

Point data and count data, together with intensity function and expected counts for a homogeneous 1-dimensional Poisson process example.

Usage

data(Poisson1_1D)

Format

The data contain the following R objects:

lambda1_1D:

A function defining the intensity function of a nonhomogeneous Poisson process. Note that this function is only defined on the interval (0,55).

E_nc1

The expected counts of the gridded data.

pts1

The locations of the observed points (a data frame with one column, named x).

countdata1

A data frame with three columns, containing the count data:

x

The grid cell midpoint.

count

The number of detections in the cell.

exposure

The width of the cell.

Examples

# NOT RUN {
library(ggplot2)
data(Poisson1_1D)
ggplot(countdata1) + 
geom_point(data = countdata1, aes(x=x,y=count),col="blue") +ylim(0,max(countdata1$count)) +
  geom_point(data = pts1, aes(x=x), y = 0.2, shape = "|",cex=4) +
  geom_point(data = countdata1, aes(x=x), y = 0, shape = "+",col="blue",cex=4) +
  xlab(expression(bold(s))) +ylab("count")
# }