create_geo_objects

0th

Percentile

Create geographical objects to be used in Bayesian Cluster Detection Method

This internal function creates the geographical objects needed to run the Bayesian cluster detection method in bayes_cluster. Specifically it creates all single zones based data objects, where single zones are the zones defined by Kulldorff (1997).

Keywords
file
Usage
create_geo_objects(max.prop, population, centroids, sp.obj)
Arguments
max.prop

maximum proportion of study region's population each single zone can contain

population

vector of length n of the population of each area

centroids

n x 2 table of the (x,y)-coordinates of the area centroids. The coordinate system must be grid-based

sp.obj

object of class SpatialPolygons (See SpatialPolygons-class) representing the study region

Value

overlap

list with two elements: 1. presence which lists for each area all the single zones it is present in and 2. cluster.list for each single zone its component areas

cluster.coords

n.zones x 2 matrix of the center and radial area of each single zone

References

Wakefield J. and Kim A.Y. (2013) A Bayesian model for cluster detection. Biostatistics, 14, 752--765.

See Also

latlong2grid, zones

Aliases
  • create_geo_objects
Examples
# NOT RUN {
data(pennLC)
max.prop <- 0.15
population <- tapply(pennLC$data$population, pennLC$data$county, sum)
centroids <- latlong2grid(pennLC$geo[, 2:3])
sp.obj <- pennLC$spatial.polygon
output <- create_geo_objects(max.prop, population, centroids, sp.obj)

## number of single zones
nrow(output$cluster.coords)
# }
Documentation reproduced from package SpatialEpi, version 1.2.3, License: GPL-2

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