This chapter documents features found in the extras folder of the PostGIS source tarballs and source repository. These are not always packaged with PostGIS binary releases, but are usually PL/pgSQL based or standard shell scripts that can be run as is.
This is a fork of the PAGC standardizer (original code for this portion was PAGC PostgreSQL Address Standardizer).
The address standardizer is a single line address parser that takes an input address and normalizes it based on a set of rules stored in a table and helper lex and gaz tables.
The code is built into a single PostgreSQL extension library called
address_standardizer which can be installed with
CREATE EXTENSION address_standardizer;. In addition to the address_standardizer extension, a sample data extension called
address_standardizer_data_us extensions is built, which contains gaz, lex, and rules tables for US data. This extensions can be installed via:
CREATE EXTENSION address_standardizer_data_us;
The code for this extension can be found in the PostGIS
extensions/address_standardizer and is currently self-contained.
For installation instructions refer to: Section 2.3, “Installing and Using the address standardizer”.
The parser works from right to left looking first at the macro elements for postcode, state/province, city, and then looks micro elements to determine if we are dealing with a house number street or intersection or landmark. It currently does not look for a country code or name, but that could be introduced in the future.
Assumed to be US or CA based on: postcode as US or Canada state/province as US or Canada else US
These are recognized using Perl compatible regular expressions. These regexs are currently in the parseaddress-api.c and are relatively simple to make changes to if needed.
These are recognized using Perl compatible regular expressions. These regexs are currently in the parseaddress-api.c but could get moved into includes in the future for easier maintenance.
This section lists the PostgreSQL table formats used by the address_standardizer for normalizing addresses. Note that these tables do not need to be named the same as what is referenced here. You can have different lex, gaz, rules tables for each country for example or for your custom geocoder. The names of these tables get passed into the address standardizer functions.
The packaged extension
address_standardizer_data_us contains data for standardizing US addresses.
A plpgsql based geocoder written to work with the TIGER (Topologically Integrated Geographic Encoding and Referencing system ) / Line and Master Address database export released by the US Census Bureau.
There are four components to the geocoder: the data loader functions, the address normalizer, the address geocoder, and the reverse geocoder.
Although it is designed specifically for the US, a lot of the concepts and functions are applicable and can be adapted to work with other country address and road networks.
The script builds a schema called
tiger to house all the tiger related functions, reusable lookup data such as road type prefixes, suffixes, states, various control tables for managing data load, and skeleton base tables from which all the tiger loaded tables inherit from.
Another schema called
tiger_data is also created which houses all the census data for each state that the loader downloads from Census site and loads into the database. In the current model, each set of state tables is
prefixed with the state code e.g
ma_edges etc with constraints to enforce only that state data. Each of these tables inherits from the tables
edges, etc located in the
All the geocode functions only reference the base tables, so there is no requirement that the data schema be called
tiger_data or that data can't be further partitioned into other schemas -- e.g a different schema
for each state, as long as all the tables inherit from the tables in the
For instructions on how to enable the extension in your database and also to load data using it, refer to Section 2.4.1, “Tiger Geocoder Enabling your PostGIS database: Using Extension”.
If you are using tiger geocoder (tiger_2010),
you can upgrade the scripts using the accompanying upgrade_geocoder.bat
/ .sh scripts in extras/tiger. One major change between
New in PostGIS 2.2.0 release is support for Tiger 2015 data and inclusion of Address Standardizer as part of PostGIS.
New in PostGIS 2.1.0 release is ability to install tiger geocoder with PostgreSQL extension model if you are running PostgreSQL 9.1+. Refer to Section 2.4.1, “Tiger Geocoder Enabling your PostGIS database: Using Extension” for details.
The Pagc_Normalize_Address function as a drop in replacement for in-built Normalize_Address. Refer to Section 2.3, “Installing and Using the address standardizer” for compile and installation instructions.
The goal of this project is to build a fully functional geocoder that can process an arbitrary United States address string and using normalized TIGER census data, produce a point geometry and rating reflecting the location of the given address and likeliness of the location. The higher the rating number the worse the result.
reverse_geocode function, introduced in PostGIS 2.0.0 is useful for deriving the street address and cross streets of a GPS location.
The geocoder should be simple for anyone familiar with PostGIS to install and use, and should be easily installable and usable on all platforms supported by PostGIS.
It should be robust enough to function properly despite formatting and spelling errors.
It should be extensible enough to be used with future data updates, or alternate data sources with a minimum of coding changes.
tiger_dataif no schema is specified.
state_allor state code followed by
tiger_dataif no schema is specified.
normalized_address(addy) for each location, and the rating. The lower the rating the more likely the match. Results are sorted by lowest rating first. Can optionally pass in maximum results, defaults to 10. Uses Tiger data (edges, faces, addr), PostgreSQL fuzzy string matching (soundex, levenshtein).
tiger_dataschema. Each state script is returned as a separate record.
tiger_dataschema. Each state script is returned as a separate record. Latest version supports Tiger 2010 structural changes and also loads census tract, block groups, and blocks tables.
norm_addytype that has road suffix, prefix and type standardized, street, streetname etc. broken into separate fields. This function will work with just the lookup data packaged with the tiger_geocoder (no need for tiger census data).
norm_addytype that has road suffix, prefix and type standardized, street, streetname etc. broken into separate fields. This function will work with just the lookup data packaged with the tiger_geocoder (no need for tiger census data). Requires address_standardizer extension.
norm_addycomposite type object, returns a pretty print representation of it. Usually used in conjunction with normalize_address.
There are a couple other open source geocoders for PostGIS, that unlike tiger geocoder have the advantage of multi-country geocoding support
Nominatim uses OpenStreetMap gazeteer formatted data. It requires osm2pgsql for loading the data, PostgreSQL 8.4+ and PostGIS 1.5+ to function. It is packaged as a webservice interface and seems designed to be called as a webservice. Just like the tiger geocoder, it has both a geocoder and a reverse geocoder component. From the documentation, it is unclear if it has a pure SQL interface like the tiger geocoder, or if a good deal of the logic is implemented in the web interface.
GIS Graphy also utilizes PostGIS and like Nominatim works with OpenStreetMap (OSM) data. It comes with a loader to load OSM data and similar to Nominatim is capable of geocoding not just US. Much like Nominatim, it runs as a webservice and relies on Java 1.5, Servlet apps, Solr. GisGraphy is cross-platform and also has a reverse geocoder among some other neat features.