C中的普查批处理地理编码API，其源地址位于R中的数据框(而非CSV)中 [英] Census Batch Geocoding API with source addresses in data frame (not CSV) in R

问题描述

我正在尝试使用人口普查局的批处理地址解析器( http://geocoding.带有R的geo.census.gov/geocoder/Geocoding_Services_API.pdf ).输入地址位于数据帧中，而不是CSV中.由于地址是中间步骤，因此我不想将其写入CSV.

I am attempting to utilize the Census Bureau's batch geocoder (http://geocoding.geo.census.gov/geocoder/Geocoding_Services_API.pdf) with R. The input addresses are in a data frame, not a CSV. As the addresses are an intermediate step, I do not want to write them to a CSV.

我已经阅读了关于stackoverflow的几篇文章. Hadley的解决方案(发布到API和从API接收数据在R 中使用httr)说明了如何上传现有的CSV文件. MrFlick的解决方案(将csv上传到R中的api )似乎很接近我想要的东西，但使用的是字符串，而不是数据框.

I have read several postings on stackoverflow. Hadley's solution (Posting to and Receiving data from API using httr in R) illustrates how to upload an existing CSV file. MrFlick's solution (Uploading a csv to an api in R) seems close to what I want but uses a string, not a data frame.

这就是我的编码方式:

#generate data frame of test addresses for this example
a = c(1, 2, 3) 
b = c("125 Worth Street", "258 Broadway", "8 Centre Street") 
c = rep("New York", 3) 
d = rep("NY", 3)
e = c("10013","10007","10007")
addresses = data.frame(a,b,c,d,e)

#names specified by API documentation
colnames(addresses) <- c("Unique ID","Street address","City","State","ZIP")

apiurl <- "http://geocoding.geo.census.gov/geocoder/geographies/addressbatch"

req <- POST(apiurl, body=list(
    addressFile = RCurl::fileUpload(
        filename = "test.csv", 
        contents = addresses
    ), 
    benchmark = "Public_AR_Census2010",
    vintage = "Census2010_Census2010"
    ), 
    encode="multipart"
)
stop_for_status(req)

谢谢.

推荐答案

如果您愿意将数据写入临时文件...

if you're willing to write the data to a temp file...

library("httr")
a = c(1, 2, 3) 
b = c("125 Worth Street", "258 Broadway", "8 Centre Street") 
c = rep("New York", 3) 
d = rep("NY", 3)
e = c("10013","10007","10007")
addresses = data.frame(a,b,c,d,e)
colnames(addresses) <- c("Unique_ID","Street address","City","State","ZIP")
apiurl <- "http://geocoding.geo.census.gov/geocoder/geographies/addressbatch"
file <- tempfile(fileext = ".csv")
write.csv(addresses, file, row.names = FALSE)
req <- POST(apiurl, body=list(
    addressFile = upload_file(file), 
    benchmark = "Public_AR_Census2010",
    vintage = "Census2010_Census2010"
  ), 
  encode="multipart"
)
content(req, "text", encoding = "UTF-8")


#> [1] "\"3\",\"8 Centre Street, New York, NY, 10007\",\"Match\",\"Non_Exact\",\"8 Centre St, NEW YORK, NY, 10013\",\"-74.00442,40.712765\",\"59660429\",\"R\",\"36\",\"061\",\"002900\",\"4019\"\n\"2\",\"258 Broadway, New York, NY, 10007\",\"No_Match\"\n\"1\",\"125 Worth Street, New York, NY, 10013\",\"Match\",\"Exact\",\"125 Worth St, NEW YORK, NY, 10013\",\"-74.0027,40.715446\",\"59660405\",\"L\",\"36\",\"061\",\"003100\",\"1012\"\n\"Unique_ID\",\"Street address, City, State, ZIP\",\"No_Match\"\n"

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