find_address_candidates: Find address candidates for City of Dallas addresses

In log-linear/DallasGeocodeR: R Wrappers for the City of Dallas's Public Geocoding Service

Description

Find probable City of Dallas addresses for a given address using the City of Dallas's public findAddressCandidates service. See ArcGIS's documentation page for additional details on this service.

Usage

find_address_candidates(
  street,
  city = NULL,
  zip = NULL,
  max_locs = NULL,
  server = c("DallasStreetsLocator", "ParcelLocator", "AccountPointsLocator",
    "AccountpointsStreetLocator"),
  out_sr = 4326
)

Arguments

street	character vector of street addresses to match against
city	optional, character vector of city names to match against
zip	optional, vector of postal codes to match against
max_locs	optional, maximum number of address candidates to return
server	GeocodeServer to use. Defaults to DallasStreetsLocator. Refer to the ToolServices API directory for details on each server.
out_sr	Spatial Reference ID (WKID) for the desired lat/long coordinate system. Defaults to 4326 (WGS84). If using with one of the City of Dallas's MapServers, you may wish to set this to 2276, the default WKID for many Dallas services. Refer to ArcGIS's Projected and Geographic coordinate system documentation pages for a full list of valid WKIDs.

Value

A dataframe of address candidates

Examples

addresses <- data.frame(
  street = c('8525 Garland Rd', '1500 Marilla St', '3809 Grand Avenue'),
  city = c('Dallas', 'Dallas', 'Dallas'),
  zip = c(75218, 75201, 75210)
)
find_address_candidates(addresses$street, addresses$city, addresses$zip)

find_address_candidates("1500 Marilla St", max_locs = 1)

log-linear/DallasGeocodeR documentation built on Dec. 21, 2021, 11:45 a.m.