Local Reverse Postal Code Geocoder
This library provides a local reverse postal code geocoder for Node.js that is based on GeoNames data. It is local in the sense that there are no calls to a remote service like the Google Maps API, and in consequence the gecoder is suitable for batch reverse geocoding. It is reverse in the sense that you give it a (list of) point(s), i.e., a latitude/longitude pair, and it returns the postal code to that point.
Installation
$ npm install local-reverse-postal code
Usage
Lookup
var geocoder = ; // With just one pointvar point = latitude: 42083333 longitude: 31;geocoder; // In batch mode with many pointsvar points = latitude: 42083333 longitude: 31 latitude: 48466667 longitude: 9133333;geocoder; // How many results to display at maxvar maxResults = 5; // With just one pointvar point = latitude: 42083333 longitude: 31;geocoder; // In batch mode with many pointsvar points = latitude: 42083333 longitude: 31 latitude: 48466667 longitude: 9133333;geocoder;
Init
You can optionally initialize the geocoder prior to the first call to lookUp. This ensures that all files are loaded into the cache prior to making the first call.
var geocoder = ; geocoder;
Optionally init allows you to specify the directory that geonames files are downloaded and cached in.
var geocoder = ; geocoder;
Usage of the Web Service
You can use the built-in Web service by running node app.js
as follows.
$ curl "http://localhost:3000/geocode?latitude=48.466667&longitude=9.133333"
Result Format
An output array that maps each point in the input array (or input object converted to a single-element array) to the maxResults
closest postal codes.
"countryCode":"US" "postalCode":"10018" "placeName":"New York City" "adminName1":"New York" "adminCode1":"NY" "adminName2":"New York" "adminCode2":"061" "adminName3":null "adminCode3":null "latitude":"40.7547" "longitude":"-73.9925" "accuracy":null "distance":001717469835623254 "countryCode":"US" "postalCode":"10122" "placeName":"New York City" "adminName1":"New York" "adminCode1":"NY" "adminName2":"New York" "adminCode2":"061" "adminName3":null "adminCode3":null "latitude":"40.7518" "longitude":"-73.9922" "accuracy":null "distance":0328619663752171 "countryCode":"US" "postalCode":"10123" "placeName":"New York City" "adminName1":"New York" "adminCode1":"NY" "adminName2":"New York" "adminCode2":"061" "adminName3":null "adminCode3":null "latitude":"40.7515" "longitude":"-73.9905" "accuracy":null "distance":04042385734624632 "countryCode":"US" "postalCode":"10120" "placeName":"New York City" "adminName1":"New York" "adminCode1":"NY" "adminName2":"New York" "adminCode2":"061" "adminName3":null "adminCode3":null "latitude":"40.7506" "longitude":"-73.9894" "accuracy":null "distance":05368946061124421 "countryCode":"US" "postalCode":"10121" "placeName":"New York City" "adminName1":"New York" "adminCode1":"NY" "adminName2":"New York" "adminCode2":"061" "adminName3":null "adminCode3":null "latitude":"40.7496" "longitude":"-73.9919" "accuracy":null "distance":05745045613406756
A Word on Speed
The call to init takes quite a while, as the geocoder has to download roughly 9MB of data that it then caches locally (unzipped, this occupies about 76MB of disk space). All follow-up requests are lightning fast.
If you can deploy the data ahead of time the download/unzip process is eliminated but parsing and loading data structures takes a bit of time.
License
Copyright 2015-2018 Chris Kinsman (chris@kinsman.net)
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Acknowledgements
This project was inspired by Richard Penman's Python reverse geocoder. This was a spin off of Thomas Steiner's local-reverse-geocoder. It uses Ubilabs' k-d-tree implementation that was ported to Node.js by Luke Arduini.