CMulti: A function to compute multi-group squared coefficient of...

Description Usage Arguments Value References See Also Examples

View source: R/SegFunctions.R

Description

The index can be interpreted as a measure of the variance of the spatial representation of the groups accros spatial unite, or as a normalized chi-squared measure of association between groups and units.

Usage

1
CMulti(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

multi-group entropy segregation index

References

Reardon S. F. and Firebaugh G. (2002) Measures of multi-group segregation. Sociological Methodology, 32, pp. 33-67.

See Also

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

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

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

Example output

[1] 1

OasisR documentation built on July 2, 2020, 3:14 a.m.

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