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#' @name nysp
#' @title \code{SpatialPolygonsDataFrame} for New York
#' leukemia data.
#' @description
#'
#' A \code{SpatialPolygonsDataFrame} object containing New
#' York leukemia data. Methods for
#' \code{SpatialPolygonsDataFrame} are provided by the
#' \code{sp} package, which must be loaded to make full use
#' of this data format.
#'
#' The number of incident leukemia cases from 1978-1982 per
#' census tract for an 8-county region of upstate New York.
#'
#' This is the same data as in \code{nydf} in a different
#' format.
#'
#' Note that the coordinates in the polygons have been
#' projected to a different coordinate system (UTM, zone 18)
#' compared to \code{nydf}, but the order of the
#' regions/polygons is the same as in \code{nydf}.
#'
#' @format A \code{SpatialPolygonsDataFrame} with 281 rows
#' and 17 columns:
#' \describe{
#' \item{areaname}{The name of the region.}
#' \item{areakey}{Census tract id.}
#' \item{xorig}{x-coordinate associated with the centroid of each region on the ORIGINAL scale.}
#' \item{yirug}{y-coordinate associated with the centroid of each region on the ORIGINAL scale.}
#' \item{pop8}{The population (1980 census) of the region.}
#' \item{tractcas}{The number of leukemia cases between 1978-1982, rounded to two decimal places.}
#' \item{propcas}{The proportion of cases relative to population.}
#' \item{pctownhome}{The percentage of homeowners in the tract.}
#' \item{pctage65p}{The percentage of residents aged 65 or older.}
#' \item{Z}{A transformation of exposure to TCE, specifically log(1000(TCE + 1)/pop8).}
#' \item{avgidist}{Average inverse distance to the nearest TCE site.}
#' \item{pexpossure}{}
#' \item{cases}{The number of leukemia cases between 1978-1982.}
#' \item{xm}{A shifted version of \code{x}.}
#' \item{ym}{A shifted version of \code{y}.}
#' \item{x}{x-coordinate associated with the centroid of each region.}
#' \item{y}{y-coordinate associated with the centroid of each region.}
#' }
#' @source Waller, L.A. and Gotway, C.A. (2005). Applied
#' Spatial Statistics for Public Health Data. Hoboken, NJ:
#' Wiley.
#'
#' @docType data
#' @usage data(nysp)
#'
#' @source Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V.,
#' and Pebesma, E. J. (2013). Applied Spatial Data
#' Analysis with R, 2nd edition. New York: Springer.
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