0

我正在尝试从 NOAA 解开天气警报。

https://api.weather.gov/alerts

library(jsonlite)
#API
string = "https://api.weather.gov/alerts"

#import json and flatten
json_data <- fromJSON(string,flatten=TRUE)

#get names
names(json_data)
[1] "@context" "type"     "features" "title"    "updated"

#extract the features
final_data <- as.data.table(json_data$features)

这会生成一个表格,我可以从中获取有关每个警报的详细信息。然而,一些结果被进一步嵌套。例如:

head(final_data$properties.geocode.UGC,1)
[[1]]
[1] "AMZ732" "AMZ741" "AMZ715" "AMZ725" "AMZ712" "AMZ710"

我想解压这些并旋转表格,所以每一行都应该是:

warning | properties.geocode.UGC
storm   | AMZ732
storm   | AMZ741
storm   | AMZ715
storm   | AMZ725
storm   | AMZ712
storm   | AMZ710

我该怎么做?它会涉及取消列出该列吗?

4

1 回答 1

0

听起来您不需要GeoJSON,因此我们将使用 JSON-LD 端点:

httr::GET(
  url = "https://api.weather.gov/alerts",
  httr::accept("application/ld+json")
) -> res

x <- jsonlite::fromJSON(rawToChar(httr::content(res)))[["@graph"]]
x <- cbind.data.frame(x, x$geocode, x$parameters)

x$geocode <- NULL
x$parameters <- NULL

colnames(x) <- make.names(colnames(x), unique=TRUE)

x <- tidyr::unnest(x, UGC)

dplyr::data_frame(
  id = x$id, 
  event = x$event,
  ugc = x$UGC
) 
## # A tibble: 1,792 x 3
##    id                           event                  ugc   
##    <chr>                        <chr>                  <chr> 
##  1 NWS-IDP-PROD-3212197-2821047 Freeze Warning         NMZ538
##  2 NWS-IDP-PROD-KEEPALIVE-22857 Test Message           MDC031
##  3 NWS-IDP-PROD-3212196-2821046 Special Marine Warning GMZ650
##  4 NWS-IDP-PROD-3212196-2821046 Special Marine Warning GMZ670
##  5 NWS-IDP-PROD-3212195-2821045 Wind Advisory          UTZ019
##  6 NWS-IDP-PROD-3212194-2821044 Red Flag Warning       CAZ211
##  7 NWS-IDP-PROD-3212194-2821044 Red Flag Warning       CAZ204
##  8 NWS-IDP-PROD-3212194-2821044 Red Flag Warning       CAZ283
##  9 NWS-IDP-PROD-3212194-2821044 Red Flag Warning       CAZ277
## 10 NWS-IDP-PROD-3212194-2821044 Red Flag Warning       CAZ203
## # ... with 1,782 more rows
于 2018-11-09T22:22:58.380 回答