将邮政编码映射到 R 中各自的城市和州？

Question

I have a data frame of zip codes that I'm looking to map to a city & state for each specific zip code. Currently, I have played around with the zipcode package a bit but I'm not sure that can solve this specific issue.

Here's sample data of what I have now:

str(all_key$zip)
chr [1:406] "43031" "24517" "43224" "43832" "53022" "60185" "84104" "43081" 
"85226" "85193" "54656" "43215" "94533" "95826" "64804" "49548" "54467" 

The expected output would be adding a city & state column to each row of the data frame referring to the individual zips:

 head(all_key)
     zip city  state
1   43031 city1 state1
2   24517 city2 state2
3   43224 city3 state3
4   43832 city4 state4
5   53022 city5 state5
6   60185 city6 state6

Thanks in advance for your help.

Answer 1

答案已更新

zipcode 包似乎已消失，因此此答案已更新以显示如何从外部文件添加 lat-lon。底部的新答案。

您可以从zipcode包中获取数据，然后进行合并以查找内容。

zip = c("43031", "24517", "43224", "43832", "53022", 
 "60185", "84104", "43081", "85226", "85193", "54656", 
 "43215", "94533", "95826", "64804", "49548", "54467")
ZC = data.frame(zip)

library(zipcode)
data(zipcode)
merge(ZC, zipcode)
     zip           city state latitude  longitude
1  24517      Altavista    VA 37.12754  -79.27409
2  43031      Johnstown    OH 40.15198  -82.66944
3  43081    Westerville    OH 40.10951  -82.91606
4  43215       Columbus    OH 39.96513  -83.00431
5  43224       Columbus    OH 40.03991  -82.96772
6  43832  Newcomerstown    OH 40.27738  -81.59662
7  49548   Grand Rapids    MI 42.86823  -85.66391
8  53022     Germantown    WI 43.21916  -88.12043
9  54467         Plover    WI 44.45228  -89.54399
10 54656         Sparta    WI 43.96977  -90.80796
11 60185   West Chicago    IL 41.89198  -88.20502
12 64804         Joplin    MO 37.04716  -94.51124
13 84104 Salt Lake City    UT 40.75063 -111.94077
14 85193    Casa Grande    AZ 32.86000 -111.83000
15 85226       Chandler    AZ 33.31221 -111.93177
16 94533      Fairfield    CA 38.26958 -122.03701
17 95826     Sacramento    CA 38.55010 -121.37492

如果您需要将行保持相同的顺序，您只需在邮政编码数据上设置行名，然后使用它来选择所需的行和列。

rownames(zipcode) = zipcode$zip
zipcode[zip, 1:3]
        zip           city state
43031 43031      Johnstown    OH
24517 24517      Altavista    VA
43224 43224       Columbus    OH
43832 43832  Newcomerstown    OH
53022 53022     Germantown    WI
60185 60185   West Chicago    IL
84104 84104 Salt Lake City    UT
43081 43081    Westerville    OH
85226 85226       Chandler    AZ
85193 85193    Casa Grande    AZ
54656 54656         Sparta    WI
43215 43215       Columbus    OH
94533 94533      Fairfield    CA
95826 95826     Sacramento    CA
64804 64804         Joplin    MO
49548 49548   Grand Rapids    MI
54467 54467         Plover    WI

更新答案

由于邮政编码包已经消失，这显示了如何从下载的数据集中添加经纬度信息。我正在使用的文件今天存在，但该方法应该适用于其他文件。请参阅GIS StackExchange以获取有关数据下载位置的一些线索。

## Original Data to match
zip = c("43031", "24517", "43224", "43832", "53022", 
 "60185", "84104", "43081", "85226", "85193", "54656", 
 "43215", "94533", "95826", "64804", "49548", "54467")
ZC = data.frame(zip)

## Download source file, unzip and extract into table
ZipCodeSourceFile = "http://download.geonames.org/export/zip/US.zip"
temp <- tempfile()
download.file(ZipCodeSourceFile , temp)
ZipCodes <- read.table(unz(temp, "US.txt"), sep="\t")
unlink(temp)
names(ZipCodes) = c("CountryCode", "zip", "PlaceName", 
"AdminName1", "AdminCode1", "AdminName2", "AdminCode2", 
"AdminName3", "AdminCode3", "latitude", "longitude", "accuracy")

## merge extra info onto original data
fZC_Info = merge(ZC, ZipCodes[,c(2:6,10:11)])
head(ZC_Info)
    zip     PlaceName AdminName1 AdminCode1 AdminName2 latitude longitude
1 24517     Altavista   Virginia         VA   Campbell  37.1222  -79.2911
2 43031     Johnstown       Ohio         OH    Licking  40.1445  -82.6973
3 43081   Westerville       Ohio         OH   Franklin  40.1146  -82.9105
4 43215      Columbus       Ohio         OH   Franklin  39.9671  -83.0044
5 43224      Columbus       Ohio         OH   Franklin  40.0425  -82.9689
6 43832 Newcomerstown       Ohio         OH Tuscarawas  40.2739  -81.5940

Answer 2

您仍然可以通过从档案https://cran.r-project.org/src/contrib/Archive/zipcode/下载来使用“zipcode”包

将 tar.gz 文件下载到您的计算机后，您可以从 RStudio GUI Packages 窗格安装它。单击“安装”后，您可以将选项更改为“打包存档文件”并指向下载的 tar.gz 文件。