OpenStreetMap and OpenAddresses.io based geocoder
Project description
Python implementation for a OSM / Openaddresses.io Geocoder.
This geocoder is implemented in PostgreSQL DB functions as much as possible, there is a simple API and an example flask app included.
You will need PostgreSQL 9.5+ (or 11.0+ for Openaddresses.io) with PostGIS installed as well as some disk space and data-files from OpenStreetMap and (optionally) OpenAddresses.io.
Data import will be done via Omniscale's imposm3 and a supplied python script to import the openaddresses.io data.
Optionally you can use the libpostal machine learning address classifier to parse addresses supplied as input to the forward geocoder.
For formatting the addresses from the reverse geocoder the worldwide.yml
from OpenCageData address-formatting repository is used to format the address according to customs in the country that is been encoded.
See README.md
in the repository for more information.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file osmgeocoder-2.0.1.tar.gz
.
File metadata
- Download URL: osmgeocoder-2.0.1.tar.gz
- Upload date:
- Size: 34.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 955286f3079aa457cad2e266bba0777f1b7542df9591c6ef68854e5c6af98651 |
|
MD5 | e650945cbd426bdd9705fb3f2c3ea8e4 |
|
BLAKE2b-256 | e09d2e3f327767d8dd43005733b0da863f5f6aae88bcc873b4f0e8a44a383a65 |