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OasisR (version 1.0.0)

DI: A function to compute Duncan dissimilarity segregation index

Description

Duncan's dissimilarity index is the most common segregation index used to measure the segregation between different groups. For each pair of groups, the index varies between 0 (similar distribution of groups) to 1 (perfect spatial separation)

Usage

DI(x)

Arguments

x
- an object of class matrix (or that 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 one (at least two population groups are require

Value

  • A matrix with Duncan dissimilarity index

References

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

See Also

Evenness intragroup indices: Duncan, Wong, Morill, Gini, Gorard

Examples

Run this code
x <- slot(GreHSize, 'data')[ ,3:5]
DI(x)

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