使用weatheR包我需要来自特定站的数据，所以我尝试使用getStationByID功能。 该站是GROTTAGLIE，在我的station.list中，其美国空军的身份证是163240：
require(devtools)
install_github("mpiccirilli/weatheR")
require(weatheR)
station.list <- allStations()
station.list %>% filter(USAF==163240)
USAF WBAN NAME CTRY STATE ICAO LAT LON ELEV BEGIN END
163240 99999 GROTTAGLIE IT LIBG 40.518 17.403 65.5 19430927 20170710
如果我启动功能
grottaglie<- getStationByID(stationID = '163240',station.list = station.list, begin = 2013, 2016)
我得到了
名称错误（combined.list）[i]＆lt; - keys [i]： 'names'属性[1]的长度必须与vector [0]
的长度相同
有什么建议吗？
答案 0 :(得分：2)
您可以使用rnoaa
install.packages("rnoaa")
library(rnoaa)
(res <- isd(usaf=163240, wban=99999, year=1986))
#> # A tibble: 7,364 x 78
#> total_chars usaf_station wban_station date time date_flag latitude longitude type_code elevation
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 0058 163240 99999 19860101 0032 4 +40517 +017400 FM-15 +0069
#> 2 0058 163240 99999 19860101 0100 4 +40517 +017400 FM-15 +0069
#> 3 0058 163240 99999 19860101 0208 4 +40517 +017400 FM-15 +0069
#> 4 0058 163240 99999 19860101 0308 4 +40517 +017400 FM-15 +0069
#> 5 0058 163240 99999 19860101 0408 4 +40517 +017400 FM-15 +0069
#> 6 0074 163240 99999 19860101 0508 4 +40517 +017400 FM-15 +0069
#> 7 0074 163240 99999 19860101 0610 4 +40517 +017400 FM-15 +0069
#> 8 0074 163240 99999 19860101 0710 4 +40517 +017400 FM-15 +0069
#> 9 0074 163240 99999 19860101 0810 4 +40517 +017400 FM-15 +0069
#> 10 0074 163240 99999 19860101 0910 4 +40517 +017400 FM-15 +0069
#> # ... with 7,354 more rows, and 68 more variables: call_letter <chr>, quality <chr>,
#> # wind_direction <chr>, wind_direction_quality <chr>, wind_code <chr>, wind_speed <chr>,
#> ...
答案 1 :(得分：1)
weatheR套餐似乎是一个废弃的项目
查看getStationByID函数的代码，可以意识到它无法工作
修改后的getStationByID可用here
下载此文件并将其保存在名为mygetStationByID.r的工作目录中
然后，使用以下代码：
require(weatheR)
station.list <- allStations()
# Load the modified version of getStationByID
source("mygetStationByID.r")
# The structure of the fixed-width files
# downloaded from ftp://ftp.ncdc.noaa.gov/pub/data/noaa/
col.width <- c(4,6,5,8,4,1,6,7,5,5,5,4)
# Column names
col.names <- c("TOT", "USAF", "WBAN", "DATE", "TIME", "DATASOURCE",
"LAT","LON","CODE","ELEV.DIM","CALL.LETTER","QLT.CTRL")
grottaglie <- mygetStationByID(stationID = 163240,
station.list = station.list, begin = 2013, end=2016)
str(grottaglie)
# List of 2
# $ dl_status :'data.frame': 4 obs. of 4 variables:
# ..$ File : chr [1:4] "163240-99999-2013.gz" "163240-99999-2014.gz" "163240-99999-2015.gz" "163240-99999-2016.gz"
# ..$ Status: chr [1:4] "Failed" "Failed" "Failed" "Failed"
# ..$ City : chr [1:4] "Grottaglie, Italy" "Grottaglie, Italy" "Grottaglie, Italy" "Grottaglie, Italy"
# ..$ rank : num [1:4] 1 1 1 1
# $ station_data:List of 1
# ..$ Grottaglie_163240:'data.frame': 19264 obs. of 12 variables:
# .. ..$ TOT : int [1:19264] 126 126 138 137 145 145 145 137 89 89 ...
# .. ..$ USAF : int [1:19264] 163240 163240 163240 163240 163240 163240 163240 163240 163240 163240 ...
# .. ..$ WBAN : int [1:19264] 99999 99999 99999 99999 99999 99999 99999 99999 99999 99999 ...
# .. ..$ DATE : int [1:19264] 20130101 20130101 20130101 20130101 20130101 20130101 20130101 20130101 20130101 20130101 ...
# .. ..$ TIME : int [1:19264] 650 750 850 950 1050 1250 1350 1450 1550 1650 ...
# .. ..$ DATASOURCE : int [1:19264] 4 4 4 4 4 4 4 4 4 4 ...
# .. ..$ LAT : num [1:19264] 40.5 40.5 40.5 40.5 40.5 ...
# .. ..$ LON : int [1:19264] 17400 17400 17400 17400 17400 17400 17400 17400 17400 17400 ...
# .. ..$ CODE : Factor w/ 2 levels "FM-15","FM-16": 1 1 1 1 1 1 1 1 1 1 ...
# .. ..$ ELEV.DIM : int [1:19264] 69 69 69 69 69 69 69 69 69 69 ...
# .. ..$ CALL.LETTER: Factor w/ 2 levels "99999","LIBG ": 2 2 2 2 2 2 2 2 2 2 ...
# .. ..$ QLT.CTRL : Factor w/ 1 level "V020": 1 1 1 1 1 1 1 1 1 1 ...
# Table by years
table(as.numeric(substr(grottaglie$station_data[[1]]$DATE, 1, 4)))
# 2013 2014 2015 2016
# 4866 4816 4794 4788
我希望它可以帮助你。
注：如果在第一次运行时代码生成错误消息，请尝试重新运行它。