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OasisR (version 2.0.1)

PMulti: A function to compute multigroup normalised exposure (PMulti)

Description

The multigroup normalised isolation index, PMulti, is a multigroup version of the isolation index (xPx)

Usage

PMulti(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 normalised isolation index

References

James, F. J. (1986) A New Generalized 'Exposure-Based' Segregation Index. Sociological Methods and Research, 14, pp. 301-316

Reardon S. F. and G. Firebaugh (2002) Measures of Multigroup Segregation. Sociological Methodology, 32(1), pp 33-67

See Also

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

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

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

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