OasisR (version 1.0.0)

Poo: A function to compute the mean proximity between persons without regard to group (Poo)

Description

The index computes the mean distance between the persons in the area without regard to group. The function can be used in two ways: by providing a distance matrix or a geographic source (spatial object or shape file) wich will be used to compute the matrix within the function

Usage

Poo(x, d = NULL, fdist = 'l', spatobj = NULL, folder = NULL, shape = NULL)

Arguments

x

- an object of class matrix (or that can be coerced to that class), where each column represents the distribution of a population group, within spatial units. The number of columns should be greater than one (at least two population groups are require

d

- a matrix with the distances between spatial units centroids

fdist

- the method used for distance calculations: 'l' for linear (by default) and 'e' for exponential function.

spatobj

- a spatial object (SpatialPolygonsDataFrame)

folder

- a character vector with the folder (directory) where the shapefile is

shape

- a character vector with the name of the shapefile (without the .shp extension)

Value

• A matrix with Poo values

References

White M. J. (1988) The Measurement of Spatial Segregation. American Journal of Sociology, 88, p. 1008-1019

See Also

Absolute Clustering Index: ACL Other proximity measures: Pxx , Pxy, SP

Examples

x <- slot(GreHSize, 'data')[ ,3:5]
dist<- distance(GreHSize)
foldername <- system.file('extdata', package = 'OasisR')
shapename <- 'GreHSize'

Poo(x, d = dist)

Poo(x, spatobj = GreHSize)

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