uls.zones: Determine sequence of ULS zones.

In smerc: Statistical Methods for Regional Counts

Determine sequence of ULS zones.

Description

uls.zones determines the unique zones obtained by implementing the ULS (Upper Level Set) test of Patil and Taillie (2004).

Usage

uls.zones(cases, pop, w, ubpop = 0.5, check.unique = FALSE)

Arguments

cases	The number of cases observed in each region.
pop	The population size associated with each region.
w	A binary spatial adjacency matrix for the regions.
ubpop	The upperbound of the proportion of the total population to consider for a cluster.
check.unique	A logical value indicating whether a check for unique values should be determined. The default is FALSE. This is unlikely to make a practical different for most real data sets.

Details

The zones returned must have a total population less than ubpop * sum(pop) of all regions in the study area.

Value

Returns a list of zones to consider for clustering. Each element of the list contains a vector with the location ids of the regions in that zone.

Author(s)

Joshua French

References

Patil, G.P. & Taillie, C. Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environmental and Ecological Statistics (2004) 11(2):183-197. <doi:10.1023/B:EEST.0000027208.48919.7e>

Examples

data(nydf)
data(nyw)
uls.zones(cases = nydf$cases, pop = nydf$population, w = nyw)

smerc documentation built on Oct. 10, 2023, 5:07 p.m.