ACO: A function to compute Absolute Concentration index (ACO)

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

A function to compute Absolute Concentration index (ACO)

Description

The absolute concentration index, ACO, computes the total area inhabited by a group, and compares the result to the minimum and maximum possible areas that could be inhabited by that group in the study area. 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

ACO(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 numeric vector containing the Absolute Concentration index values for each group

References

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

See Also

Delta Index: Delta

Relative Concentration Index: RCO

Examples

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

ACO(x, a = ar) 

ACO(x, spatobj = GreHSize)

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

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