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 relative concentration index values

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 Aug. 30, 2023, 1:09 a.m.