RCO: A function to compute Relative Concentration index (RCO)

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

A function to compute Relative Concentration index (RCO)

Description

The relative concentration index, measures the share of space occupied by a group compared to another group. The function can be used in two ways: to provide an area vector or a external geographic information source (spatial object or shape file).

Usage

RCO(x, a = NULL, spatobj = NULL, folder = NULL, shape = NULL)

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.
a	a numeric vector containing spatial unit areas
spatobj	a spatial object (SpatialPolygonsDataFrame) with geographic information
folder	a character vector with the folder (directory) name indicating where the shapefile is located on the drive
shape	a character vector with the name of the shapefile (without the .shp extension).

Value

A matrix containing the relative concentration index values for each pair of groups

References

Massey D. S. and Denton N. A. (1988) The dimensions of residential segregation. Social Forces 67(2), pp. 281-315.

See Also

one-group concentration indices: Delta, ACO

Examples

x <- GreHSize@data[ ,3:5]
ar <- area(GreHSize)
foldername <- system.file('extdata', package = 'OasisR')
shapename <- 'GreHSize'

RCO(x, a = ar) 

RCO(x, spatobj = GreHSize)

RCO(x, folder = foldername, shape = shapename) 

OasisR documentation built on April 3, 2025, 5:58 p.m.