percent_located_disasters: Percent of Disasters Successfully Geocoded

In weed: Wrangler for Emergency Events Database

Percent of Disasters Successfully Geocoded

Description

Tells us how successful the geocoding is.

How many of the disasters in this data frame have non NA coordinates?

Usage

percent_located_disasters(
  .,
  how = "any",
  lat_column = "lat",
  lng_column = "lng",
  plot_result = TRUE
)

Arguments

.	Data Frame that has been locationized. see weed::split_locations
how	takes in a function, "any", or "all" to determine how to count the disaster as being geocoded if any, at least one location must be coded, if all, all locations must have lat/lng if a function, it must take in a logical vector and return a single logical
lat_column	Name of column containing Latitude data
lng_column	Name of column containing Longitude data
plot_result	Determines output type (Plot or Summarized Data Frame)

Value

The percent and number of Locations that have been geocoded (see plot_result for type of output)

Examples

d <- tibble::tribble(
~`Dis No`, ~value,  ~location_word,                    ~Country,     ~lat,       ~lng,
1, "city of new york",      "new york",                       "USA", 40.71427,  -74.00597,
2, "kerala, chennai municipality, and san francisco",  "kerala", "India", 10.41667,       76.5,
2, "kerala, chennai municipality, and san francisco",  "chennai",  "India", 13.08784,   80.27847)
percent_located_disasters(d,
how = "any",
lat_column = "lat",
lng_column = "lng",
plot_result = FALSE)

weed documentation built on Oct. 17, 2023, 1:06 a.m.