ACEDuncan | R Documentation |
Duncan's absolute centralization index measures the proportion of a group that should change its localization to achieve the same level of centralization as the rest of the population. The function can be used in two ways: to provide a vector containing the distances between spatial/organizational unit centroids or a external geographic information source (spatial object or shape file).
ACEDuncan(x, dc = NULL, center = 1,
spatobj = NULL, folder = NULL, shape = NULL)
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 vector containing the distances between spatial units centroids and the central spatial unit |
center |
a numeric value giving the number of the spatial unit that represents the center 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). |
A numeric vector containing the Duncan's absolute centralisation index values for each group
Duncan O. D. and Duncan B. (1955) A Methodological Analysis of Segregation Indexes. American Sociological Review 41, pp. 210-217
ACEDuncanPoly
, ACEDuncanPolyK
,
RCE
, RCEPoly
, RCEPolyK
ACE
, ACEPoly
x <- segdata@data[ ,1:2]
distc<- distcenter(segdata, center = 28)
foldername <- system.file('extdata', package = 'OasisR')
shapename <- 'segdata'
ACEDuncan(x, dc=distc)
ACEDuncan(x, spatobj = segdata, center = 28)
ACEDuncan(x, folder = foldername, shape = shapename, center = 28)
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