R/data.R

In CircSpaceTime: Spatial and Spatio-Temporal Bayesian Model for Circular Data

#' April waves.
#'
#' Four days of waves data on the Adriatic sea in the month of April 2010.
#'
#'
#' Wave directions and heights are obtained as outputs from a deterministic computer model implemented by Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA).
#' The computer model starts from a wind forecast model predicting
#' the surface wind over the entire Mediterranean.
#' The hourly evolution of sea wave spectra is obtained by solving energy transport
#' equations using the wind forecast as input.
#' Wave spectra are locally modified using a source function
#' describing the wind energy, the energy redistribution due to nonlinear
#' wave interactions, and energy dissipation
#' due to wave fracture.
#' The model produces estimates every hour
#' on a grid with 10 x 10 km cells (Inghilesi et al. 2016).
#' The ISPRA dataset has forecasts for a total of 4941 grid points
#' over the Italian Mediterranean.
#' Over the Adriatic Sea area, there are 1494 points.
#'
#'  A list containing 4 data frames each of 35856 rows and 7 columns.
#'
#' @format
#' \describe{
#' \item{Date}{Date, format: yyyy-mm-dd}
#' \item{hour}{Factor w/ 24 levels corresponding to the 24h, format: 00:00}
#' \item{Lon, Lat}{decimal longitude and latitude}
#' \item{Hm0}{Significant wave heights in meters}
#' \item{Dm}{Direction of waves in degrees (North=0)}
#' \item{state}{Factor w/ 3 levels "calm","transition", "storm"}
#' }
#' @source  R. Inghilesi, A. Orasi & F. Catini (2016) The ISPRA Mediterranean Coastal Wave Forecasting system: evaluation and perspectives  Journal of Operational Oceanography Vol. 9 , Iss. sup1 \url{http://www.tandfonline.com/doi/full/10.1080/1755876X.2015.1115635}
"april"


#' May waves.
#'
#' Four time slices of waves data on the Adriatic sea in the month of May 2010.
#'
#'
#' Wave directions and heights are obtained as outputs from a deterministic
#' computer model implemented by Istituto Superiore per la Protezione e
#' la Ricerca Ambientale (ISPRA).
#' The computer model starts from a wind forecast model predicting
#' the surface wind over the entire Mediterranean.
#' The hourly evolution of sea wave spectra is obtained by
#' solving energy transport equations using the wind forecast as input.
#' Wave spectra are locally modified using a source function describing the wind
#'  energy, the energy redistribution due to nonlinear wave interactions,
#'  and energy dissipation due to wave fracture.
#' The model produces estimates every hour
#' on a grid with 10 x 10 km cells (Inghilesi et al. 2016).
#' The ISPRA dataset has forecasts for a total of 4941 grid points
#' over the Italian Mediterranean.
#' Over the Adriatic Sea area, there are 1494 points.
#'
#'  A list containing 4 data frames each of 1494 rows and 7 columns.
#'
#' @format
#' \describe{
#' \item{object}{each element of the list is one hour of data on the entire area}
#' \item{Date}{Date, format: yyyy-mm-dd}
#' \item{hour}{Factor w/ 24 levels corresponding to the 24h, format: 00:00}
#' \item{Lon, Lat}{decimal longitude and latitude}
#' \item{Hm0}{Significant wave heights in meters}
#' \item{Dm}{Direction of waves in degrees (North=0)}
#' \item{state}{Factor w/ 3 levels "calm","transition", "storm"}
#' }
#' @source  R. Inghilesi, A. Orasi & F. Catini (2016) The ISPRA Mediterranean Coastal Wave Forecasting system: evaluation and perspectives  Journal of Operational Oceanography Vol. 9 , Iss. sup1 \url{http://www.tandfonline.com/doi/full/10.1080/1755876X.2015.1115635}
"may"