Gini: A function to compute Gini's segregation index

View source: R/SegFunctions.R

GiniR Documentation

A function to compute Gini's segregation index

Description

The segregation version of the Gini index can be derived from the Lorenz curve as the area between the segregation curve and the diagonal.

Usage

Gini(x)

Arguments

x

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

Value

A numeric vector containing Gini's segregation index values for each group

References

Duncan O. D. and Duncan B. (1955) A Methodological Analysis of Segregation Indexes. American Sociological Review 41, pp. 210-217

See Also

Other one-group evenness indices: ISDuncan, Atkinson, Gorard, HTheil, 'ISWong, ISMorrill, ISMorrillK

Between groups dissimilarity indices: DIDuncan, Gini2, DIMorrill, DIMorrillK, DIWong

Examples

x <- segdata@data[ ,1:2]
Gini(x)

OasisR documentation built on April 3, 2025, 5:58 p.m.

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