Learn R Programming

OasisR (version 3.1.0)

PMulti: A function to compute multi-group normalised exposure (PMulti)

Description

The multi-group normalised isolation index is a multi-group version of the isolation index (xPx)

Usage

PMulti(x)

Value

multi-group normalised isolation index

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

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 multi-group Segregation. Sociological Methodology, 32(1), pp 33-67

See Also

Multi-group indices: GiniMulti, DMulti, HMulti, CMulti, RelDivers

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

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

Run the code above in your browser using DataLab