Whereas, converting the latitude and longitude to an address is called reverse geocoding.īecause I am probably not the only person who would like to reverse geocode a dataset, I thought it would be helpful to share my own reverse geocoding process. The request may succeed if you try again.Converting the address to latitude and longitude is known as geocoding. ![]() UNKNOWN_ERROR: indicates that the request could not be processed due to a server error. INVALID_REQUEST: Indicates that some part of the query (address, URL components, etc.) is missing. REQUEST_DENIED: indicates that your request was denied. OVER_QUERY_LIMIT: indicates that you are over your quota. This may occur if the geocoder was passed a non-existent address. ZERO_RESULTS: indicates that the geocode was successful but returned no results. ![]() OK: indicates that no errors occurred the address was successfully parsed and at least one geocode was returned. Status: the geocode status of a response object. GEOMETRIC_CENTER: indicates that the result is the geometric center of a result such as a polyline (for example, a street) or polygon (region).ĪPPROXIMATE: indicates that the result is approximate. Interpolated results are generally returned when rooftop geocodes are unavailable for a street address. RANGE_INTERPOLATED: indicates that the result reflects an approximation (usually on a road) interpolated between two precise points (such as intersections). ROOFTOP: indicates that the return is accurate to the level of a precise street address. Location_type: an estimate of the response object's coordinate accuracy. Geocode_url returns a data frame with (numeric) lat/long coordinates and two additional parameters from the response object (see this page for additional information): "Fuzzy" date values can be useful to avoid sending large batches of geocode requests on the same day if your scripts recertify/retry geocode estimations after a fixed period of time. When set to "fuzzy", a random positive number of days between 1 and 30 is added to this date column. When set to "today", a column with today's calendar date is added to the returned data frame. Logical when TRUE, displays additional output in the returns from Google.Ĭharacter string one of: "none" (the default), "today", or "fuzzy". Logical when TRUE, applies address_cleaner to the address vector prior to URL encoding. ![]() This parameter should not be set when authenticating through the standard API. Note: country is optional but recommended.Ĭharacter string one of: "standard_api" (the default) or "work".Īuthentication via the standard API requires a (free) Google API key.Īuthentication via the "work" method requires the client ID and private API key associated with your (paid) Google for Work account.Ĭharacter string your Google API key (whether of the "work" or "standard_api" variety).Ĭharacter string your Google for Work client ID (generally, these are of the form 'gme-') Note: addresses should be in raw form, not URL encoded (e.g., of the form: 123 Main Street, Somewhere, NY 12345, USA). Enabling the "clean" parameter calls the address_cleaner function will strip or replace common character patterns in the vector that are incompatible with the Maps API. Geocode_url ( address, auth = "standard_api", privkey = NULL, clientid = NULL, clean = FALSE, verbose = FALSE, add_date = "none" )Ī 1xN vector of address(es) with "url-safe" characters.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |