Learn R Programming

OasisR (version 3.1.0)

Gini: A function to compute Spatial Gini's segregation index

Description

The spatial 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)

Value

a numeric vector containing the Gini's segregation index value for each group

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.

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

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

Run the code above in your browser using DataLab