RCEPoly: A function to compute Polycentric Relative Centralisation...

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

A function to compute Polycentric Relative Centralisation Index

Description

The polycentric version of the relative centralisation index. The function can be used in two ways: to provide a matrix containing the distances between spatial/organizational unit centroids or a external geographic information source (spatial object or shape file).

Usage

RCEPoly(x, dc = NULL, center = 1, 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.
dc	- a numeric matrix/vector containing the distances between spatial units centroids and the central spatial unit(s).
center	- a numeric vector giving the number of the spatial units that represent the centers in the table
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 centralisation index values

References

Duncan O. D. and Duncan B. (1955) A Methodological Analysis of Segregation Indexes. American Sociological Review 41, pp. 210-217

See Also

RCE, RCEPolyK,

ACEDuncan, ACEDuncanPoly,

ACEDuncanPolyK, ACE, ACEPoly

Examples

x <- segdata@data[ ,1:2]
foldername <- system.file('extdata', package = 'OasisR')
shapename <- 'segdata'

RCEPoly(x, spatobj = segdata, center = c(28, 83) )

RCEPoly(x, folder = foldername, shape = shapename, center = c(28, 83))

center <- c(28, 83)
polydist <- matrix(data = NA, nrow = nrow(x), ncol = length(center))
for (i in 1:ncol(polydist))
  polydist[,i] <- distcenter(spatobj = segdata, center = center[i])
RCEPoly(x, dc = polydist)

distmin <- vector(length = nrow(x))
for (i in 1:nrow(polydist)) distmin[i] <- min(polydist[i,])
RCE(x, dc = distmin)

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