#' @name columbus #' @aliases columbus col.gal.nb coords polys bbs #' @title Columbus OH spatial analysis data set #' #' @description The \code{columbus} data frame has 49 rows and 22 columns. Unit of analysis: 49 neighbourhoods in Columbus, OH, 1980 data. In addition the data set includes a \code{polylist} object \code{polys} with the boundaries of the neighbourhoods, a matrix of polygon centroids \code{coords}, and \code{col.gal.nb}, the neighbours list from an original GAL-format file. The matrix \code{bbs} is DEPRECATED, but retained for other packages using this data set. #' #' @format This data frame contains the following columns: #' \itemize{ #' \item{AREA} {computed by ArcView} #' \item{PERIMETER} {computed by ArcView} #' \item{COLUMBUS_} {internal polygon ID (ignore)} #' \item{COLUMBUS_I} {another internal polygon ID (ignore)} #' \item{POLYID} {yet another polygon ID} #' \item{NEIG} {neighborhood id value (1-49); #' conforms to id value used in Spatial Econometrics book.} #' \item{HOVAL} {housing value (in \$1,000)} #' \item{INC} {household income (in \$1,000)} #' \item{CRIME} {residential burglaries and vehicle thefts per thousand #' households in the neighborhood} #' \item{OPEN} {open space in neighborhood} #' \item{PLUMB} {percentage housing units without plumbing} #' \item{DISCBD} {distance to CBD} #' \item{X} {x coordinate (in arbitrary digitizing units, not polygon coordinates)} #' \item{Y} {y coordinate (in arbitrary digitizing units, not polygon coordinates)} #' \item{NSA} {north-south dummy (North=1)} #' \item{NSB} {north-south dummy (North=1)} #' \item{EW} {east-west dummy (East=1)} #' \item{CP} {core-periphery dummy (Core=1)} #' \item{THOUS} {constant=1,000} #' \item{NEIGNO} {NEIG+1,000, alternative neighborhood id value} #' } #' @details The row names of \code{columbus} and the \code{region.id} attribute of \code{polys} are set to \code{columbus$NEIGNO}. #' @source Anselin, Luc. 1988. Spatial econometrics: methods and models. Dordrecht: Kluwer Academic, Table 12.1 p. 189. #' @note All source data files prepared by Luc Anselin, Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, http://sal.agecon.uiuc.edu/datasets/columbus.zip. #' @docType data #' @keywords datasets sp spdep #' #' @examples #' if (requireNamespace("rgdal", quietly = TRUE)) { #' library(rgdal) #' columbus <- readOGR(system.file("shapes/columbus.shp", package="spData")[1]) #' plot(columbus) #' } #' #' if (requireNamespace("spdep", quietly = TRUE)) { #' library(spdep) #' col.gal.nb <- read.gal(system.file("weights/columbus.gal", package="spData")[1]) #' } "columbus"