LSimpson: A function to compute local Simpson's index

In OasisR: Outright Tool for the Analysis of Spatial Inequalities and Segregation

A function to compute local Simpson's index

Description

Local Simpson's interaction index measures the probability that randomly selected individuals are not in the same group in each spatial unit.

Usage

LSimpson (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

Local Simpson's interaction index

References

Simpson E. H. (1949) Measurement of diversity. Nature 163:688

See Also

Other local indices: LQ, HLoc, LShannon

Examples

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

OasisR documentation built on Aug. 30, 2023, 1:09 a.m.