simJSS: Dataset of Simulated Measurements from JSS Publication

In ramps: Bayesian Geostatistical Modeling with RAMPS

Dataset of Simulated Measurements from JSS Publication

Description

Simulated Iowa, USA, areal and point-source measurements analyzed in the Working Example of the ramps package paper published in Journal of Statistical Software.

Usage

data(simJSS)

Format

The following variables are provided in the simIowa data frame:

areal

type of measurement: 1 = areal, 0 = point-source.

y

simulated measurement.

id

unique identifiers for measurements.

siteId

unique identifiers for point-source measurement sites.

lon

longitude coordinates of point-source measurements.

lat

latitude coordinates of point-source measurements.

weights

number of sites per measurement.

A grid of coordinates is provided by the simGrid data frame to facilitate Monte Carlo integration in geostatistical modeling of areal measurements. The included columns are

lon

longitude coordinates of grid sites.

lat

latitude coordinates of grid sites.

id

county identifiers.

county

county names.

Areal measurements in simIowa can be matched to the grid coordinates in simGrid via the shared "id" variable.

Details

Areal and point-source observations were generated from from a geostatistical model using the county structure in the state of Iowa, USA. There are 99 counties in the state. Areal observations were generated from each as county averages from a uniform grid of 391 sites - approximately 4 sites per county. An additional 600 point-source observations were generated from a set of 300 unique sites sampled from a uniform distribution in Iowa.

An exponential correlation structure with a range parameter of 10 was used for the underlying Gaussian spatial structure. Measurement errors were generated with variances of 0.25 for point-source data and 0.09 for areal data. Site-specific non-spatial random effects were generated with a variance 0.16. One fixed effects covariate with coefficient equal to 0.5 was included as an indicator for areal observations.

References

Smith, B. J., Yan, J., and Cowles, M. K. (2008) “Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R Package ramps”, Journal of Statistical Software, 25(10), 1-21.

Examples

data(simJSS)

## Map areal and point-source measurements
y <- simIowa$y[simIowa$areal == 1]
level <- (max(y) - y) / diff(range(y))
map("county", "iowa", fill = TRUE, col = gray(level))
title("Simulated Iowa Measurements")
points(simIowa$lon, simIowa$lat)

## Map grid sites
map("county", "iowa")
title("Regular Grid of Coordinates")
points(simGrid$lon, simGrid$lat)

ramps documentation built on March 31, 2023, 9:08 p.m.