By district crime data from Columbus OH, together with polygons describing district shape. Useful for illustrating use of simple Markov Random Field smoothers.
columb is a 49 row data frame with the following columns
land area of district
housing value in 1000USD.
household income in 1000USD.
residential burglaries and auto thefts per 1000 households.
measure of open space in district.
code identifying district, and matching
columb.polys contains the polygons defining the areas in the format described below.
The data frame
columb relates to the districts whose boundaries are coded in
columb.polys[[i]] is a 2 column matrix, containing the vertices of the polygons defining the boundary of the ith
columb.polys[] has an artificial hole inserted to illustrate how holes in districts can be spefified. Different polygons defining the boundary of a district are separated by NA rows in
and a polygon enclosed within another is treated as a hole in that region (a hole should never come first).
columb$district (order unimportant).
The data are adapted from the
columbus example in the
spdep package, where the original source is given as:
Anselin, Luc. 1988. Spatial econometrics: methods and models. Dordrecht: Kluwer Academic, Table 12.1 p. 189.
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