seg (version 0.2-2)

segdata: Hypothetical Patterns of Segregation

Description

This data set contains eight different spatial configurations that were used by Morrill (1991) and Wong (1993) to test their segregation measures.

Usage

data(segdata)

format

A class of SpatialPolygonsDataFrame. The data slot contains 16 columns, representing eight idealised spatial patterns. Each column indicates the following information:

rll{ [,1] A1 Pattern A, Group 1 [,2] A2 Pattern A, Group 2 [,3] B1 Pattern B, Group 1 [,4] B2 Pattern B, Group 2 [,5] C1 Pattern C, Group 1 [,6] C2 Pattern C, Group 2 [,7] D1 Pattern D, Group 1 [,8] D2 Pattern D, Group 2 [,9] E1 Pattern E, Group 1 [,10] E2 Pattern E, Group 2 [,11] F1 Pattern F, Group 1 [,12] F2 Pattern F, Group 2 [,13] G1 Pattern G, Group 1 [,14] G2 Pattern G, Group 2 [,15] H1 Pattern H, Group 1 [,16] H2 Pattern H, Group 2 }

source

Morrill, R. L. (1991). On the measure of geographic segregation. Geography Research Forum, 11, 25-36.

Wong, D. W. S. (1993). Spatial Indices of Segregation. Urban Studies, 30, 559-572.

Examples

data(segdata)
par(mfrow = c(2, 4), mar = c(0, 1, 0, 1))
for (i in 1:8) {
  full <- data.frame(segdata)[,(2 * i)-1] == 100
  half <- data.frame(segdata)[,(2 * i)-1] == 50
  plot(segdata)
  plot(segdata[full,], col = "Black", add = TRUE)
  if (any(half))
    plot(segdata[half,], col = "Grey", add = TRUE)
  text(5, 11.5, labels = paste("Pattern", LETTERS[i]))
}