censusxy package is designed to provide easy access to the U.S.
Census Bureau Geocoding
has also been developed specifically with large data sets in mind - only
unique addresses are passed to the API for geocoding. If a data set
exceeds 1,000 unique addresses, it will be automatically subset into
appropriately sized API calls, geocoded, and then put back together so
that a single object is returned. There is also support for parallel
processing on Non-Windows platforms.
The easiest way to get
censusxy is to install it from CRAN:
Alternatively, the development version of
censusxy can be accessed
from GitHub with
# install.packages("remotes") remotes::install_github("slu-openGIS/censusxy")
censusxy package contains two data sets,
stl_homicides (n =
stl_homicides_small (n = 24), that can be used to
demonstrate the functionality of the package. The
data is included specifically for quick experimentation, as its small
sample size ensures an expedient response from the API.
censusxy’s functionality, load the package and either of the
sample data sets:
library(censusxy) data <- stl_homicides
There are two possible variable configurations (
specified using the
output argument), and two possible output class
sf, specified using the
homicide_sf <- cxy_geocode(data, street = "street_address", city = "city", state = "state", output = "simple", class = "sf")
If you request an
sf object, you easily preview the results with the
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
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