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OasisR (version 2.0.1)

GiniMulti: A function to compute multigroup Gini index

Description

GiniMulti is a multigroup version of the Gini index

Usage

GiniMulti(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.

References

Reardon S. F. (1998) Measures of racial diversity and segregation in multigroup and hierarchical structured Populations. Annual meeting of the Eastern Sociological Society, Philadelphia

See Also

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

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

Run this code
# NOT RUN {
x <- segdata@data[ ,1:2]
GiniMulti(x) 
# }

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