From b24a88cc07621d8ab4e1cf15375a8480bc17bac1 Mon Sep 17 00:00:00 2001 From: Shinya Uryu Date: Wed, 11 Sep 2024 10:11:23 +0900 Subject: [PATCH] =?UTF-8?q?[modify]=E9=9C=87=E5=BA=A6=E8=A6=B3=E6=B8=AC?= =?UTF-8?q?=E7=82=B9=E3=81=AE=E6=9B=B4=E6=96=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- NEWS.md | 4 +++ R/data.R | 2 +- data-raw/station_list.R | 70 ++++++++++++++++++++---------------- data/earthquake_station.rda | Bin 26237 -> 26218 bytes man/earthquake_station.Rd | 2 +- 5 files changed, 46 insertions(+), 32 deletions(-) diff --git a/NEWS.md b/NEWS.md index e10eddf..443ac79 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,9 @@ # jmastats (development version) +## Datasets + +* Earth quake station dataset handled by the package have been updated to the latest version in September 2024. + # jmastats 0.2.2 ## Datasets diff --git a/R/data.R b/R/data.R index 4b15211..7967d30 100644 --- a/R/data.R +++ b/R/data.R @@ -37,7 +37,7 @@ globalVariables(c("stations", "tide_station", "earthquake_station")) #' Japan Meteorological Agency's earthquake observe stations #' -#' @description This data corresponds to the March 14, 2024 update. +#' @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) diff --git a/data-raw/station_list.R b/data-raw/station_list.R index 593d92c..4fdee89 100644 --- a/data-raw/station_list.R +++ b/data-raw/station_list.R @@ -5,6 +5,7 @@ # 2. 潮位観測地点(2024-01-01) # 3. 震度観測点 (2024-03-14) ##################################### +# remotes::install_github("uribo/kuniezu") library(dplyr, warn.conflicts = FALSE) library(sf) library(rnaturalearth) # for reverse geocoding @@ -12,6 +13,7 @@ library(assertr) library(polite) library(rvest) library(ensurer) +library(pointblank) if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { # 1. 地上気象観測地点 ------------------------------------------------------------- @@ -41,8 +43,9 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { read.csv( here::here(stringr::str_glue("data-raw/{ame_master}")), fileEncoding = "cp932", - stringsAsFactors = FALSE) %>% # magrittr - assertr::verify(dim(.) == c(1316, 17)) |> + stringsAsFactors = FALSE) |> + pointblank::row_count_match(1316L) |> + pointblank::col_count_match(17L) |> tibble::as_tibble() |> dplyr::mutate( `都府県振興局` = stringi::stri_trans_general(`都府県振興局`, id = "nfkc"), @@ -99,8 +102,9 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { prec_no = purrr::map_chr(., "href") |> stringr::str_extract("prec_no=[0-9]{2}") |> stringr::str_remove("prec_no=")) |> - dplyr::select(!1) %>% # magrittr - assertr::verify(dim(.) == c(61, 2)) + dplyr::select(!1) |> + pointblank::row_count_match(61L) |> + pointblank::col_count_match(2L) # 1.3 Merge --------------------------------------------------------------- # ~ 2 mins. @@ -111,14 +115,16 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { ensurer::ensure(length(.) == 61L) |> purrr::map( read_block_no) |> - purrr::list_rbind() %>% # magrittr - assertr::verify(dim(.) == c(1677, 3)) + purrr::list_rbind() |> + pointblank::row_count_match(1677L) |> + pointblank::col_count_match(3L) df_stations <- df_stations_raw |> dplyr::left_join(df_prec_no, by = dplyr::join_by(prec_no)) |> - dplyr::mutate(area = stringr::str_remove(area, "地方")) %>% # magrittr - assertr::verify(dim(.) == c(1677, 4)) |> + dplyr::mutate(area = stringr::str_remove(area, "地方")) |> + pointblank::row_count_match(1677L) |> + pointblank::col_count_match(4L) |> dplyr::mutate(area = stringr::str_remove(area, "(都|府|県)$"), # area = dplyr::if_else(station == "竜王山", "徳島", area), station = stringr::str_remove(station, "(.+)")) |> @@ -127,10 +133,10 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { # https://www.data.jma.go.jp/obd/stats/etrn/select/prefecture.php?prec_no=50&block_no=&year=&month=&day=&view= df_stations |> filter(station_name == "三倉", area == "静岡") |> - ensurer::ensure(nrow(.) == 2L) # 2地点でOK + pointblank::row_count_match(2L) # 2地点でOK df_amedas_master |> filter(station_name == "高知", area == "高知") |> - ensurer::ensure(nrow(.) == 2L) # 2地点でOK + pointblank::row_count_match(2L) # 2地点でOK stations <- df_amedas_master |> @@ -138,7 +144,7 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { by = dplyr::join_by(station_name, area), multiple = "all", relationship = "many-to-many") |> - ensurer::ensure(nrow(.) == 1323L) |> + pointblank::row_count_match(1323L) |> sf::st_as_sf(coords = c("longitude", "latitude"), crs = 4326) %>% dplyr::mutate( dplyr::across(.cols = c(area, station_type, station_name, @@ -146,8 +152,8 @@ if (!file.exists(here::here("data-raw/amedas_raw.rds"))) { katakana), .fns = \(x) stringi::stri_conv(x, to = "UTF8"), .names = "{.col}")) %>% - tibble::new_tibble(nrow = nrow(.), class = "sf") %>% - assertr::verify(nrow(.) == 1323L) + tibble::new_tibble(nrow = nrow(.), class = "sf") |> + pointblank::row_count_match(1323L) # 現在も観測が行われているものに制限される # 例) ピヤシリ山 (block_no=0007)は除外 @@ -175,8 +181,9 @@ ne_jpn <- stations <- stations |> - st_join(ne_jpn) %>% # magrittr - assertr::verify(dim(.) == c(1323, 14L)) + st_join(ne_jpn) |> + pointblank::row_count_match(1323L) |> + pointblank::col_count_match(14L) # 1.4 Manual fix ------------------------------------------------------------ prefecture_code <- c(`11001` = "01", @@ -369,7 +376,7 @@ prefecture_code <- c(`11001` = "01", pref_code_missing <- stations |> filter(is.na(pref_code)) |> - ensurer::ensure(nrow(.) == 66L) |> + pointblank::row_count_match(66L) |> pull(station_no) # NAの例 # stations |> @@ -397,7 +404,7 @@ stations |> distinct(station_no, station_name, pref_code, .keep_all = TRUE) |> count(station_no, station_name, sort = TRUE) |> filter(n > 1) |> - ensurer::ensure(nrow(.) == 0L) + pointblank::row_count_match(0L) # stations |> # filter(!is.na(pref_code)) |> @@ -424,8 +431,8 @@ stations |> stations |> st_drop_geometry() |> - filter(is.na(pref_code)) %>% # magrittr - assertr::verify(nrow(.) == 0L) + filter(is.na(pref_code)) |> + pointblank::row_count_match(0L) stations <- stations |> @@ -444,8 +451,9 @@ stations <- prec_no, block_no, pref_code, - geometry) %>% # magrittr - assertr::verify(dim(.) == c(1323, 14)) + geometry) |> + pointblank::row_count_match(1323L) |> + pointblank::col_count_match(14L) usethis::use_data(stations, overwrite = TRUE) @@ -490,18 +498,18 @@ tide_station <- .names = "{.col}")) |> mutate(longitude = parzer::parse_lon(longitude), latitude = parzer::parse_lat(latitude)) |> - sf::st_as_sf(coords = c("longitude", "latitude"), crs = 4326) %>% # magrittr - assertr::verify(dim(.) == c(1949, 7)) + sf::st_as_sf(coords = c("longitude", "latitude"), crs = 4326) |> + pointblank::row_count_match(1949L) |> + pointblank::col_count_match(7L) usethis::use_data(tide_station, overwrite = TRUE) - # 3. 震度観測点 ---------------------------------------------------------------- x <- rvest::read_html("https://www.data.jma.go.jp/eqev/data/kyoshin/jma-shindo.html") x |> rvest::html_element(css = "#main > h1") |> - rvest::html_text() # 令和6年3月14日現在 + rvest::html_text() # 令和6年7月18日現在 earthquake_station <- x |> @@ -515,8 +523,9 @@ earthquake_station <- across(.cols = everything(), .fns = as.character)) ) |> - purrr::list_rbind(names_to = "prefecture") %>% # magrittr - assertr::verify(dim(.) == c(1125, 10)) |> + purrr::list_rbind(names_to = "prefecture") |> + pointblank::row_count_match(1125L) |> + pointblank::col_count_match(10L) |> readr::type_convert(col_types = "ccccididcc") |> purrr::set_names(c("prefecture", "area", "station_name", "address", "lat_do", "lat_fun", @@ -531,10 +540,11 @@ earthquake_station <- ~ as.character(kuniezu::parse_lat_dohunbyo(paste0("北緯", ..5, "度", ..6, "秒"))))) |> sf::st_as_sf(coords = c("longitude", 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