% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{utsnow.int}
\alias{utsnow.int}
\title{Utah Snow Load Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 415 observations
and 5 variables:
\itemize{
    \item \code{snow_load}: Interval-valued 50-year ground snow load (kPa).
    \item \code{point_estimate}: Numeric point estimate (kPa).
    \item \code{latitude}: Numeric latitude (degrees).
    \item \code{longitude}: Numeric longitude (degrees).
    \item \code{elevation}: Numeric elevation (meters).
}
}
\source{
intkrige R package (\code{utsnow} dataset).
}
\usage{
data(utsnow.int)
}
\description{
Interval-valued ground snow load data from 415 weather stations in Utah
and surrounding states. Each observation is a station with a 50-year
ground snow load interval (lower and upper bounds of the prediction
interval in kPa) plus the point estimate, geographic coordinates, and
elevation.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 415 \cr
  \strong{Variables (p)} \tab 5 \cr
  \strong{Subject area} \tab Climate \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Regression, Spatial analysis
}
}

\examples{
data(utsnow.int)
}
\references{
Schmoyer, R. L. (1993). Permutation tests for correlation in regression
errors. \emph{Journal of the American Statistical Association}, 89(428),
1507--1516.

Bean, B., Sun, Y., and Maguire, M. (2022). Interval-valued kriging models
for geostatistical mapping with uncertain inputs.

Original data from the intkrige R package (\code{utsnow} dataset).
}
\keyword{datasets}
\keyword{interval}
