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#' @name elect80
#' @aliases elect80 elect80_lw k4 dll e80_queen
#' @title 1980 Presidential election results
#'
#' @description A data set for 1980 Presidential election results covering 3,107 US counties using geographical coordinates. In addition, three spatial neighbour objects, \code{k4} not using Great Circle distances, \code{dll} using Great Circle distances, and \code{e80_queen} of Queen contiguities for equivalent County polygons taken from file \code{co1980p020.tar.gz} on the USGS National Atlas site, and a spatial weights object imported from \code{elect.ford} - a 4-nearest neighbour non-GC row-standardised object, but with coercion to symmetry.
#'
#' @format
#' A SpatialPointsDataFrame with 3107 observations on the following 7 variables.
#' \itemize{
#' \item{FIPS: a factor of county FIPS codes}
#' \item{long: a numeric vector of longitude values}
#' \item{lat: a numeric vector of latitude values}
#' \item{pc_turnout: Votes cast as proportion of population over age 19 eligible to vote}
#' \item{pc_college: Population with college degrees as proportion of population over age 19 eligible to vote}
#' \item{pc_homeownership: Homeownership as proportion of population over age 19 eligible to vote}
#' \item{pc_income: Income per capita of population over age 19 eligible to vote}
#' }
#'
#' @source Pace, R. Kelley and Ronald Barry. 1997. "Quick Computation of Spatial Autoregressive Estimators", in Geographical Analysis; sourced from the data folder in the Spatial Econometrics Toolbox for Matlab, formerly available from http://www.spatial-econometrics.com/html/jplv7.zip, files \code{elect.dat} and \code{elect.ford} (with the final line dropped).
#' @docType data
#' @keywords datasets sp
#' @importClassesFrom sp SpatialPointsDataFrame
#'
#' @examples
#' if (requireNamespace("sp", quietly = TRUE)) {
#' library(sp)
#' data(elect80)
#' summary(elect80)
#' plot(elect80)
#' }
"elect80"
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