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# JmaStations.R
# Get prec_no from:
# - http://www.data.jma.go.jp/obd/stats/etrn/select/prefecture00.php
# - prec_no are two digit numbers (44: tokyo, 99: antarctic etc.)
# Then get station/amedas ids, names, etc. from
# - http://www.data.jma.go.jp/obd/stats/etrn/select/prefecture.php?prec_no=NN
#
# Note: Amedas station names are not quite unique..
# JMA stations
# - 1661 stations (including Amedas stations)
# Some anomalies:
# - Fujisan belongs to groups 49 (Yamanashi) and 50(Shizuoka)?
# - names are not quite unique
# - Renamed: 'Tsukuba (Tateno)' to 'Tateno'
# - Renamed: 'Okunikkou (Nikkou)' to 'Okunikkou'
# > names(Jma$stations)
# [1] "id" "group" "name" "type" "kanji.name"
# [6] "kana.name" "lat.d" "lat.m" "lon.d" "lon.m"
# [11] "height" "rem1" "rem2" "rem3" "rem4"
# [16] "rem5"
#
# - a simplified view of Jma$stations would be:
# Jma$stations <- data.frame(
# id = c('47646', '0324'), # observation station id (block_no)
# group = c('40', '40'), # prefecture number (prec_no)
# name = c('Tateno', 'Tsuchiura'), # for convenience
# type = c('s1', 'a1'), # type: meteorological station or AMEDAS
# stringsAsFactors = FALSE
# )
# Jma$stations <- read.csv('Jma.stations.csv', stringsAsFactors = FALSE)
Jma$stations.colspec <-
c('character', 'character', 'character', 'character', 'character',
'character', 'numeric', 'numeric', 'numeric', 'numeric',
'numeric', 'character', 'character', 'character', 'character',
'character')
Jma$stations <- read.csv('inst/extdata/Jma.stations.csv',
colClasses=Jma$stations.colspec,
stringsAsFactors = FALSE,
fileEncoding="UTF-8")
Jma$station <- function(x) {
if (is.character(x))
if (!is.na(suppressWarnings(as.numeric(x))))
Jma$stations[Jma$stations$id == x, ]
else
Jma$stations[Jma$stations$name == x, ]
else stop('Jma$station(x): x must be either a string (some station ids start from 0).')
}
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