A simulated longitudinal dataset containing complete environmental exposure profiles and spatial coordinates for demonstrating distributed exposure-lag models with Matérn spatial dependence and a poisson disease outcome.
Format
A data frame with rows representing temporal observations within epidemic exposure profiles and the following variables:
- epi_id
Unique numeric identifier for each epidemic.
- block
Experimental block identifier.
- time
Chronological time index within each epidemic profile.
- x_coord
First numeric spatial coordinate of the epidemic location.
- y_coord
Second numeric spatial coordinate of the epidemic location.
- tmean
Daily mean temperature in degrees Celsius.
- wetness
Daily leaf wetness duration in hours.
- rain
Daily rainfall in millimeters.
- y
Non-negative count disease outcome repeated across the rows of each epidemic profile.
Details
The response, block, and spatial coordinates are repeated across the temporal rows belonging to the same epidemic because each complete exposure profile is associated with one final epidemic-level disease outcome.
Examples
data("st_poisson", package = "EpiExposure")
head(st_poisson)
#> epi_id block time x_coord y_coord tmean wetness rain y
#> 1 1 B01 0 -0.4210796 -0.1649767 24.06189 10.81782 0.000000 4
#> 2 1 B01 1 -0.4210796 -0.1649767 24.82615 11.15336 0.000000 4
#> 3 1 B01 2 -0.4210796 -0.1649767 26.11794 12.20862 0.000000 4
#> 4 1 B01 3 -0.4210796 -0.1649767 26.17299 11.70761 6.440981 4
#> 5 1 B01 4 -0.4210796 -0.1649767 26.39594 13.08992 0.000000 4
#> 6 1 B01 5 -0.4210796 -0.1649767 26.23450 14.78350 0.000000 4