R/trainsample.R

In lspatial/sptemUS: Constrained Spatiotemporal Mixed-Effect Models for Exposure Estimation of Air Pollutants

#' The dataset of 2014 training sample for the Shandong with missing values imputed using SVD.
#'
#'
#' @source Collected
#' @format \code{DataFrame}
#' \describe{
#' \item{provence}{provence}
#' \item{city}{city}
#' \item{geocode}{geocode}
#' \item{name}{name}
#' \item{code}{code}
#' \item{x}{x}
#' \item{y}{y}
#' \item{siteid }{siteid}
#' \item{rid }{rid}
#' \item{ndvi }{ndvi}
#' \item{aod }{aod}
#' \item{wnd_avg}{wind speed}
#' \item{monthAv}{regional monthy average }
#' \item{date}{date}
#' \item{month }{month}
#' \item{pm25 }{pm2.5}
#' \item{logpm25}{log PM2.5}
#' \item{tid}{tid}
#' }
#' @examples
#'  trainsample
#'
"trainsample"