Spatio-temporal Binomial data — stbinom • sfclust

A simulated stars object containing binomial response data with a functional clustering pattern defined by polynomial fixed effects. This dataset includes the variables cases and population observed across 100 simulated spatial regions over 91 time points.

Usage

data(stbinom)

Format

A stars object with:

cases: Number of observed cases (integer)
population: Population at risk (integer)
dimensions: Two dimensions: geometry (spatial features) and time (daily observations)

Examples


library(sfclust)

data(stbinom)
stbinom
#> stars object with 2 dimensions and 2 attributes
#> attribute(s):
#>              Min. 1st Qu.  Median     Mean 3rd Qu.  Max.
#> cases        4632  9295.0 11760.5 11903.97 14238.0 26861
#> population  10911 18733.5 24255.0 23814.57 27517.5 44829
#> dimension(s):
#>          from  to     offset  delta refsys point
#> geometry    1 100         NA     NA     NA FALSE
#> time        1  91 2024-01-01 1 days   Date FALSE
#>                                                                 values
#> geometry POLYGON ((59.5033 683.285...,...,POLYGON ((942.7562 116.89...
#> time                                                              NULL
plot(stbinom["cases"])
#> Warning: plotting the first 9 out of 91 attributes; use max.plot = 91 to plot all