download_climate: Download climate data of the world

In clidatajp: Data from Japan Meteorological Agency

Download climate data of the world

Description

For polite scraping, 5 sec interval is set in download_climate(), it takes over 5 hours to get climate data of all stations. Please use existing links by "data(climate_world)", if you do not need to renew climate data. You can see web page as below. https://www.data.jma.go.jp/gmd/cpd/monitor/nrmlist/

Usage

download_climate(url)

Arguments

url	A String to specify target html.

Value

A tibble including climate and station information, or NULL when failed.

Examples

# If you want all climate data, remove head().
# The codes take > 5 sec because of poliste scraping.

library(magrittr)
library(stringi)
library(dplyr)
data(station_links)
station_links <-
  station_links %>%
  dplyr::mutate_all(stringi::stri_unescape_unicode) %>%
  head(3) %T>%
  { 
     continent <<- `$`(., "continent") 
     no        <<- `$`(., "no") 
  } %>%
  `$`("url")

climate <- list()
for(i in seq_along(station_links)){
  print(stringr::str_c(i, " / ", length(station_links)))
  climate[[i]] <- download_climate(station_links[i])
}
  # run only when download_climate() successed
if(sum(is.null(climate[[1]]), 
       is.null(climate[[2]]), 
       is.null(climate[[3]])) == 0){
  month_per_year <- 12
  climate_world <- 
    dplyr::bind_rows(climate) %>%
    dplyr::bind_cols(
      tibble::tibble(continent = rep(continent, month_per_year))) %>%
    dplyr::bind_cols(
      tibble::tibble(no        = rep(no,        month_per_year))) %>%
    dplyr::relocate(no, continent, country, station)
  climate_world
}

clidatajp documentation built on March 7, 2023, 8:10 p.m.