Geo::Coder::US(3pm) - phpMan

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US(3pm)                        User Contributed Perl Documentation                        US(3pm)



NAME
       Geo::Coder::US - Geocode (estimate latitude and longitude for) any US address

SYNOPSIS
         use Geo::Coder::US;

         Geo::Coder::US->set_db( "geocoder.db" );

         my @matches = Geo::Coder::US->geocode(
                           "1600 Pennsylvania Ave., Washington, DC" );

         my @matches = Geo::Coder::US->geocode(
                           "42nd & Broadway New York NY" )

         my ($ora) = Geo::Coder::US->geocode(
                           "1005 Gravenstein Hwy N, 95472" );

         print "O'Reilly is located at $ora->{lat} degrees north, "
                                      "$ora->{long} degrees east.\n";

DESCRIPTION
       Geo::Coder::US provides a complete facility for geocoding US addresses, that is,
       estimating the latitude and longitude of any street address or intersection in the United
       States, using the TIGER/Line data set from the US Census Bureau.  Geo::Coder::US uses
       Geo::TigerLine to parse this data, and DB_File to store a highly compressed distillation
       of it, and Geo::StreetAddress::US to parse addresses into normalized components suitable
       for looking up in its database.

       You can find a live demo of this code at <http://geocoder.us/>. The demo.cgi script is
       included in eg/ directory distributed with this module, along with a whole bunch of other
       goodies. See Geo::Coder::US::Import for how to build your own Geo::Coder::US database.

       Consider using a web service to access this geocoder over the Internet, rather than going
       to all the trouble of building a database yourself.  See eg/soap-client.pl,
       eg/xmlrpc-client.pl, and eg/rest-client.pl for different examples of working clients for
       the rpc.geocoder.us geocoder web service.

METHODS
       In general, the only methods you are likely to need to call on Geo::Coder::US are set_db()
       and geocode(). The following documentation is included for completeness's sake, and for
       the benefit of developers interested in using bits of the module's internals.

       Note: Calling conventions for address and intersection specifiers are discussed in the
       following section on CALLING CONVENTIONS.

       Geo::Coder::US->geocode( $string )
           Given a string containing a street address or intersection, return a list of
           specifiers including latitude and longitude for all matching entities in the database.
           To keep from churning over the entire database, the given address string must contain
           either a city and state, or a ZIP code (or both), or geocode() will return undef.

           geocode() will attempt to normalize directional prefixes and suffixes, street types,
           and state abbreviations, as well as substitute TIGER/Line's idea of the "primary
           street name", if an alternate street name was provided instead.

           If geocode() can parse the address, but not find a match in the database, it will
           return a hashref containing the parsed and normalized address or intersection, but
           without the "lat" and "long" keys specifying the location. If geocode() cannot even
           parse the address, it will return undef. Be sure to check for the existence of "lat"
           and "long" keys in the hashes returned from geocode() before attempting to use the
           values! This serves to distinguish between addresses that cannot be found versus
           addresses that are completely unparseable.

           geocode() attempts to be as forgiving as possible when geocoding an address.  If you
           say "Mission Ave" and all it knows about is "Mission St", then "Mission St" is what
           you'll get back. If you leave off directional identifiers, geocode() will return
           address geocoded in all the variants it can find, i.e. both "N Main St" and "S Main
           St".

           Don't be surprised if geocoding an intersection returns more than one lat/long pair
           for a single intersection. If one of the streets curves greatly or doglegs even
           slightly, this will be the likely outcome.

           geocode() is probably the method you want to use. See more in the following section on
           the structure of the returned address and intersection specifiers.

       Geo::Coder::US->geocode_address( $string )
           Works exactly like geocode(), but only parses addresses.

       Geo::Coder::US->geocode_intersection( $string )
           Works exactly like geocode(), but only parses intersections.

       Geo::Coder::US->filter_ranges( $spec, @candidates )
           Filters a list of address specifiers (presumably from the database) against a query
           specifier, filtering by prefix, type, suffix, or primary name if possible. Returns a
           list of matching specifiers. filter_ranges() will ignore a filtering step if it would
           result in no specifiers being returned. You probably won't need to use this.

       Geo::Coder::US->find_ranges( $address_spec )
           Given a normalized address specifier, return all the address ranges in the database
           that appear to cover that address. find_ranges() ignores prefix, suffix, and type
           fields in the specifier for search purposes, and then filters against them ex post
           facto. The intention for find_ranges() to find the closest match possible in
           preference to returning nothing. You probably want to use lookup_ranges() instead,
           which will call find_ranges() for you.

       Geo::Coder::US->lookup_ranges( $address_spec, @ranges )
           Given an address specifier and (optionally) some address ranges from the database,
           interpolate the street address into the street segment referred to by the address
           range, and return a latitude and longitude for the given address within each of the
           given ranges. If @ranges is not given, lookup_ranges() calls find_ranges() with the
           given address specifier, and uses those returned. You probably want to just use
           geocode() instead, which also parses an address string and determines whether it's a
           proper address or an intersection automatically.

       Geo::Coder::US->find_segments( $intersection_spec )
           Given a normalized intersection specifier, find all of the street segments in the
           database matching the two given streets in the given locale or ZIP code.
           find_segments() ignores prefix, suffix, and type fields in the specifier for search
           purposes, and then filters against them ex post facto. The intention for
           find_segments() to find the closest match possible in preference to returning nothing.
           You probably want to use lookup_intersection() instead, which will call
           find_segments() for you.

       Geo::Coder::US->lookup_intersection( $intersection_spec )
           Given an intersection specifier, return all of the intersections in the database
           between the two streets specified, plus a latitude and longitude for each
           intersection. You probably want to just use geocode() instead, which also parses an
           address string and determines whether it's a proper address or an intersection
           automatically.

CALLING CONVENTIONS
       Most Geo::Coder::US methods take a reference to a hash containing address or intersection
       information as one of their arguments. This "address specifier" hash may contain any of
       the following fields for a given address:

   ADDRESS SPECIFIER
       number
           House or street number.

       prefix
           Directional prefix for the street, such as N, NE, E, etc.  A given prefix should be
           one to two characters long.

       street
           Name of the street, without directional or type qualifiers.

       type
           Abbreviated street type, e.g. Rd, St, Ave, etc. See the USPS official type
           abbreviations at <http://www.usps.com/ncsc/lookups/abbr_suffix.txt> for a list of
           abbreviations used.

       suffix
           Directional suffix for the street, as above.

       city
           Name of the city, town, or other locale that the address is situated in.

       state
           The state which the address is situated in, given as its two-letter postal
           abbreviation. See <http://www.usps.com/ncsc/lookups/abbr_state.txt> for a list of
           abbreviations used.

       zip Five digit ZIP postal code for the address, including leading zero, if needed.

       lat The latitude of the address, as returned by geocode() et al. If you provide this to as
           part of an argument to a Geo::Coder::US method, it will be ignored.

       long
           The longitude of the address, as returned by geocode() et al. If you provide this to
           as part of an argument to a Geo::Coder::US method, it will be ignored.

   INTERSECTION SPECIFIER
       prefix1, prefix2
           Directional prefixes for the streets in question.

       street1, street2
           Names of the streets in question.

       type1, type2
           Street types for the streets in question.

       suffix1, suffix2
           Directional suffixes for the streets in question.

       city
           City or locale containing the intersection, as above.

       state
           State abbreviation, as above.

       zip Five digit ZIP code, as above.

       lat, long
           A single latitude and longitude for the intersection, as specified above. If you
           provide these values as part of an argument to a Geo::Coder::US method, they will be
           ignored.

BUGS, CAVEATS, MISCELLANY
       The TIGER/Line data is notoriously buggy and inaccurate, but it seems to work reasonably
       well for urban areas. Geo::Coder::US uses interpolation to estimate the position of a
       particular address within a block, which means that it will necessarily be slightly
       inaccurate. Hey, it's only 14 meters off for my house, which is better than the 300 meter
       error given by another prominent geocoder, and definitely close enough for navigation.

       In rural areas, TIGER/Line doesn't give names for lots of putative roads, even if the
       roads have names. Maybe the sign blew down the day before the Census agents got there,
       assuming there was ever a sign. What can you do? Similarly, lots of rural areas have
       official county subdivision names that an ordinary user would never think to give.
       Probably the right thing to do is map in names from a ZIP code database, but that data's
       not in TIGER/Line. What can you do? In general, you should expect the geocoder to be a lot
       more accurate in urban versus rural areas.

       There may be many kinds of US street addresses which Geo::Coder::US can't parse. In
       particular, Geo::Coder::US strips out letters and dashes from house numbers, which may
       cause ambiguous results in certain parts of the country (particularly rural Michigan and
       Illinois, I think). Mea culpa. Send patches.

       The full TIGER/Line data set is one heck of a lot of data -- about four gigabytes
       compressed, and over 24 gigs uncompressed. The BerkeleyDB database covering the whole US
       runs to 750+ megabytes uncompressed, or about 305 megs compressed. Unfortunately, I am not
       at present able to offer copies for download.

       It would be nice to see a version of this for other countries, e.g. Geo::Coder::CA,
       Geo::Coder::DK, Geo::Coder::UK, with the same methods. Contact your local legislator about
       why the public geographic data for your country isn't freely available like it is in the
       US. If street address data is freely available for your country of choice, what are you
       waiting for?

TODO
       Reverse geocoding methods, to retrieve the nearest street address from a given lat/long.
       This would probably necessitate using a R-tree or some other spatial indexing algorithm.

       A metaphone index, for doing fuzzy matching on misspelled street and place names.

SEE ALSO
       DB_File(3pm), Geo::TigerLine(3pm), Geo::Coder::US::Import(3pm)

       TIGER/Line is a registered trademark of the US Census Bureau. Find out more, and get the
       latest TIGER/Line files from <http://www.census.gov/geo/www/tiger/>. Actually, the best
       place to download the data from is <http://www2.census.gov/geo/tiger/tiger2004fe/>.

       You can find a live demo of this code at <http://geocoder.us/>. Our consultancy, Locative
       Technologies, offers service and support for this software on a contractual basis.

AUTHORS
       Schuyler Erle <schuyler AT nocat.net>

       Jo Walsh <jo AT frot.org>

       Geo::Coder::US incorporates a patch submitted by John P. Linderman. Submit a useful patch
       and get your name added here, too!

COPYRIGHT AND LICENSE
       Copyright (C) 2004 by Schuyler Erle and Jo Walsh

       This library is free software; you can redistribute it and/or modify it under the same
       terms as Perl itself, either Perl version 5.8.3 or, at your option, any later version of
       Perl 5 you may have available.



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