Geocoding
This lesson is called Geocoding, part of the Mapping with R course. This lesson is called Geocoding, part of the Mapping with R course.
Transcript
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View code shown in video
library(sf)
library(tidyverse)
famous_places <-
tribble(
~building,
~address,
"White House",
"1600 Pennsylvania Ave NW, Washington, DC 20500 United States",
"Empire State Building",
"350 5th Ave, New York, NY 10118, USA"
)
library(tidygeocoder)
famous_places |>
geocode(address)
famous_places_sf <-
famous_places |>
geocode(address) |>
st_as_sf(
coords = c("long", "lat"),
crs = 4326
)
famous_places_sf
famous_places_sf |>
mapview::mapview()
us_and_uk_head_residences <-
tribble(
~building,
~address,
"White House",
"1600 Pennsylvania Ave NW, Washington, DC 20500 United States",
"Number 10",
"10 Downing St, London SW1A 2AA, United Kingdom"
)
us_and_uk_head_residences
us_and_uk_head_residences |>
geocode(address)
us_and_uk_head_residences |>
geocode(
address,
method = "iq"
)
us_and_uk_head_residences_v2 <-
tribble(
~building,
~address,
~city,
~state,
~postal_code,
~country,
"White House",
"1600 Pennsylvania Ave NW",
"Washington",
"DC",
"20500",
"United States",
"Number 10",
"10 Downing St",
"London",
NA,
"SW1A 2AA",
"United Kingdom"
)
us_and_uk_head_residences_v2 |>
geocode(
street = address,
city = city,
state = state,
postalcode = postal_code,
country = country
)
us_and_uk_head_residences_v2 |>
geocode(
street = address,
city = city,
state = state,
postalcode = postal_code,
country = country,
method = "iq"
)
Your Turn
Create a tibble with the following starter code for your home address:
library(tidyverse)
my_address <-
tribble(
~address,
"Your address goes here"
)
Use the {tidygeocoder} package to geocode your address
Turn the result into an sf
object with st_as_sf()
and plot it on a map with mapview::mapview()
to make sure it worked
Remember that if you want to use method = "iq"
you’ll need to sign up for a free LocationIQ account and create an API key
Learn More
To learn more about {tidygeocoder}, check out its documentation website.
Have any questions? Put them below and we will help you out!
Course Content
23 Lessons
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