---
title: "Get started wit arcgeocoder"
output: rmarkdown::html_vignette
desc: >
Quick examples showing what arcgeocoder can do for you.
vignette: >
%\VignetteIndexEntry{Get started wit arcgeocoder}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
bibliography: REFERENCES.bib
link-citations: true
---
The goal of **arcgeocoder** is to provide a light interface for geocoding
addresses and reverse geocoding location trough the [ArcGIS REST API Geocoding
Service](https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm).
Full site with examples and vignettes on
<https://dieghernan.github.io/arcgeocoder/>
## Why **arcgeocoder**?
**arcgeocoder** is a package that provides a lightweight interface for geocoding
and reverse geocoding with the ArcGIS REST API service. The goal of
**arcgeocoder** is to access the ArcGIS REST API with fewer dependencies, such
as **curl** . In some situations, **curl** may not be available or accessible,
so **arcgeocoder** uses base functions to overcome this limitation.
The interface of **apigeocoder** is built with the aim of easing the access to
all the features provided by the API. The API endpoints used by **arcgeocoder**
are `findAddressCandidates` and `reverseGeocode`, which can be accessed without
the need for an API key.
## Recommended packages
There are other packages much more complete and mature than `nominatimlite`,
that presents similar features:
- [**tidygeocoder**](https://jessecambon.github.io/tidygeocoder/)
[@R-tidygeocoder]. Allows to interface with ArcGIS, Nominatim
(OpenStreetMaps), Google, TomTom, Mapbox, etc. for geocoding and reverse
geocoding.
- [**nominatimlite**](https://dieghernan.github.io/nominatimlite/)
[@R-nominatimlite]. Similar to **arcgeocoder** but using data from
OpenStreetMaps trough the [Nominatim
API](https://nominatim.org/release-docs/latest/) service.
## Usage
### Geocoding and reverse geocoding
*Note: examples adapted from **tidygeocoder** package*
In this first example we will geocode a few addresses using the `arc_geo()`
function. Note that **arcgeocoder** works straight away, and you don't need to
provide any API key to start geocoding!
``` r
library(arcgeocoder)
library(dplyr)
# create a dataframe with addresses
some_addresses <- tribble(
~name, ~addr,
"White House", "1600 Pennsylvania Ave NW, Washington, DC",
"Transamerica Pyramid", "600 Montgomery St, San Francisco, CA 94111",
"Willis Tower", "233 S Wacker Dr, Chicago, IL 60606"
)
# geocode the addresses
lat_longs <- arc_geo(some_addresses$addr, lat = "latitude", long = "longitude")
#>
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```
Only a few fields are returned from the geocoder service in this example, but
`full_results = TRUE` can be used to return all of the data from the geocoder
service.
|query | latitude| longitude|address | score| x| y| xmin| ymin| xmax| ymax| wkid| latestWkid|
|:------------------------------------------|--------:|----------:|:-----------------------------------------------------------------|-----:|----------:|--------:|----------:|--------:|----------:|--------:|----:|----------:|
|1600 Pennsylvania Ave NW, Washington, DC | 38.89768| -77.03655|1600 Pennsylvania Ave NW, Washington, District of Columbia, 20500 | 100| -77.03655| 38.89768| -77.03755| 38.89668| -77.03555| 38.89868| 4326| 4326|
|600 Montgomery St, San Francisco, CA 94111 | 37.79519| -122.40279|600 Montgomery St, San Francisco, California, 94111 | 100| -122.40279| 37.79519| -122.40379| 37.79419| -122.40179| 37.79619| 4326| 4326|
|233 S Wacker Dr, Chicago, IL 60606 | 41.87889| -87.63602|233 S Wacker Dr, Chicago, Illinois, 60606 | 100| -87.63602| 41.87889| -87.63702| 41.87789| -87.63502| 41.87989| 4326| 4326|
To perform reverse geocoding (obtaining addresses from geographic coordinates),
we can use the `arc_reverse_geo()` function. The arguments are similar to the
`arc_geo()` function, but now we specify the input data columns with the `x` and
`y` arguments. The dataset used here is from the geocoder query above. The
single line address is returned in a column named by the `address`.
``` r
reverse <- arc_reverse_geo(
x = lat_longs$longitude,
y = lat_longs$latitude,
address = "address_found"
)
#>
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```
| x| y|address_found |
|----------:|--------:|:----------------------------------------------------------------------------|
| -77.03655| 38.89768|White House, 1600 Pennsylvania Ave NW, Washington, DC, 20500, USA |
| -122.40279| 37.79519|Mbia Insurance Corporation, 600 Montgomery St, San Francisco, CA, 94111, USA |
| -87.63602| 41.87889|Liberty Hands Cleaning, 233 S Wacker Dr, Ste 1011, Chicago, IL, 60606, USA |
It is possible also to search for specific locations within or near a reference
are or location using [category
filtering](https://developers.arcgis.com/rest/geocode/api-reference/geocoding-category-filtering.htm).
See more information in the documentation of the data base `arc_categories`.
In the following example we would look for POIs related with food (i.e.
Restaurants, Coffee Shops, Bakeries) near the Eiffel Tower in France.
``` r
library(ggplot2) # For plotting
# Step 1: Locate Eiffel Tower, using multifield query
eiffel_tower <- arc_geo_multi(
address = "Tour Eiffel",
city = "Paris",
countrycode = "FR",
langcode = "FR",
custom_query = list(outFields = "LongLabel")
)
# Display results
eiffel_tower %>%
select(lon, lat, LongLabel)
#> # A tibble: 1 × 3
#> lon lat LongLabel
#> <dbl> <dbl> <chr>
#> 1 2.29 48.9 Tour Eiffel, 3 Esplanade des Ouvriers de la Tour Eiffel, 75007, 7e Arrondissement, …
# Use lon,lat to boots the search and using category = Food
food_eiffel <- arc_geo_categories("Food",
x = eiffel_tower$lon,
y = eiffel_tower$lat,
limit = 50, full_results = TRUE
)
# Plot by Food Type
ggplot(eiffel_tower, aes(x, y)) +
geom_point(shape = 17, color = "red", size = 4) +
geom_point(data = food_eiffel, aes(x, y, color = Type)) +
labs(
title = "Food near the Eiffel Tower",
subtitle = "Using arcgecoder",
color = "Type of place",
x = "",
y = "",
caption = "Data from ArcGIS REST API services"
)
```
### **arcgeocoder** and **r-spatial**
See additional articles showing how **arcgeocoder** can be use in combination
with **leaflet** to create [dynamic
maps](https://dieghernan.github.io/arcgeocoder/articles/ex_leaflet.html) and
with **sf** and **terra** to create [static
maps](https://dieghernan.github.io/arcgeocoder/articles/ex_static.html).
## References