R/rd-shuparks.R

In stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

#' @importFrom tibble tibble
NULL

#' The Effect of Urban Parks on the Thermal Environment in Shanghai
#'
#' A data set on urban parks in Shanghai and their effect on temperature.
#'
#' @format A data frame with 24 observations on the following 10 variables.
#' \describe{
#' \item{\code{group}}{a grouping category for park size, either 'Super Large', 'Large', 'Medium', or 'Small'}
#' \item{\code{name}}{the name of the park}
#' \item{\code{ha}}{park area, in hectares}
#' \item{\code{areap}}{percentage of the area of each park in the built-up part of Shanghai}
#' \item{\code{gc}}{the percentage of the trees or grass area in each park divided by the park area}
#' \item{\code{func}}{the supposed function of each park, per the Shanghai Landscape and City Appearance Administrative Bureau and Forestry Bureau}
#' \item{\code{mcd15}}{the maximum cooling distance, in meters, in 2015}
#' \item{\code{mci15}}{the maximum cooling intensity, in Celsius, in 2015}
#' \item{\code{mcd20}}{the maximum cooling distance, in meters, in 2020}
#' \item{\code{mci20}}{the maximum cooling intensity, in Celsius, in 2020}
#' }
#'
#' @details
#'
#' Data come from Table 1 and Table 5 in Wang et al. (2022). Read that article
#' for more technical details.
#'
#' @references
#'
#' Wang, Tian, Gui Tu, Bo Min, Zuzheng Li, Xiaofang Li, and Qingxiang You. 2022.
#' "The Mitigation Effect of Park Landscape on Thermal Environment in
#' Shanghai City Based on Remote Sensing Retrieval Method." *International Journal
#' of Environmental Research and Public Health* 19(5): 2949.
#'
"shuparks"