OasisR (version 2.0.1)

CMulti: A function to compute multigroup squared coefficient of variation index

Description

The index can be interpreted as a measure of the variance of the spatial representation of the groups accros spatial unite, or as a normalized chi-squared measure of association between groups and units.

Usage

CMulti(x)

Arguments

x

- an object of class matrix (or which can be coerced to that class), where each column represents the distribution of a population group, within spatial units. The number of columns should be greater than 1 (at least 2 population groups are required). You should not include a column with total population in each unit, because this will be interpreted as a group.

Value

Multigroup entropy segregation index

References

Reardon S. F. and Firebaugh G. (2002) Measures of multigroup segregation. Sociological Methodology, 32, pp. 33-67.

See Also

Multigroup indices: PMulti, GiniMulti, DMulti, HMulti, RelDivers

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

# NOT RUN {
x <- segdata@data[ ,1:2]
CMulti(x) 
# }