R/data.R

globalVariables(c("stations", "tide_station", "earthquake_station"))

#' Japan Meteorological Agency's Stations list
#'
#' @description This data corresponds to the April 1, 2024 update.
#' @format A data frame with 1323 rows 14 variables:
#' \itemize{
#'   \item{area}
#'   \item{station_no}
#'   \item{station_type}
#'   \item{station_name}
#'   \item{address}
#'   \item{elevation}
#'   \item{observation_begin}
#'   \item{note1}
#'   \item{note1}
#'   \item{note2}
#'   \item{katakana}
#'   \item{prec_no}
#'   \item{block_no}
#'   \item{pref_code}
#'   \item{geometry}
#' }
#' @examples
#' head(stations)
#' dim(stations)
"stations"

#' Tidal observation stations of Japan Meteorological Agency
#'
#' @description Observation stations from 1997 to 2024.
#' This data corresponds to the January 1, 2024 update.
#' @format A data frame with 1949 rows 7 variables
#' @examples
#' head(tide_station)
"tide_station"

#' Japan Meteorological Agency's earthquake observe stations
#'
#' @description This data corresponds to the July 18, 2024 update.
#' @format A simple feature data frame with 671 rows  7 variables
#' @examples
#' head(earthquake_station)
"earthquake_station"

Try the jmastats package in your browser

Any scripts or data that you put into this service are public.

jmastats documentation built on April 12, 2025, 1:38 a.m.