# NAME
Geo::Distance - Calculate distances and closest locations. (DEPRECATED)
# SYNOPSIS
use Geo::Distance;
my $geo = new Geo::Distance;
$geo->formula('hsin');
$geo->reg_unit( 'toad_hop', 200120 );
$geo->reg_unit( 'frog_hop' => 6 => 'toad_hop' );
my $distance = $geo->distance( 'unit_type', $lon1,$lat1 => $lon2,$lat2 );
my $locations = $geo->closest(
dbh => $dbh,
table => $table,
lon => $lon,
lat => $lat,
unit => $unit_type,
distance => $dist_in_unit
);
# DESCRIPTION
This perl library aims to provide as many tools to make it as simple as possible to calculate
distances between geographic points, and anything that can be derived from that. Currently
there is support for finding the closest locations within a specified distance, to find the
closest number of points to a specified point, and to do basic point-to-point distance
calculations.
# DEPRECATED
This module has been gutted and is now a wrapper around [GIS::Distance](https://metacpan.org/pod/GIS::Distance), please
use that module instead.
# STABILITY
The interface to Geo::Distance is fairly stable nowadays. If this changes it
will be noted here.
`0.21` - All distance calculations are now handled by [GIS::Distance](https://metacpan.org/pod/GIS::Distance).
`0.10` - The closest() method has a changed argument syntax and no longer supports array searches.
`0.09` - Changed the behavior of the reg\_unit function.
`0.07` - OO only, and other changes all over.
# PROPERTIES
## UNITS
All functions accept a unit type to do the computations of distance with. By default no units
are defined in a Geo::Distance object. You can add units with reg\_unit() or create some default
units with default\_units().
## LATITUDE AND LONGITUDE
When a function needs a longitude and latitude, they must always be in decimal degree format.
Here is some sample code for converting from other formats to decimal:
# DMS to Decimal
my $decimal = $degrees + ($minutes/60) + ($seconds/3600);
# Precision Six Integer to Decimal
my $decimal = $integer * .000001;
If you want to convert from decimal radians to degrees you can use Math::Trig's rad2deg function.
# METHODS
## new
my $geo = new Geo::Distance;
my $geo = new Geo::Distance( no_units=>1 );
Returns a blessed Geo::Distance object. The new constructor accepts one optional
argument.
no_units - Whether or not to load the default units. Defaults to 0 (false).
kilometer, kilometre, meter, metre, centimeter, centimetre, millimeter,
millimetre, yard, foot, inch, light second, mile, nautical mile,
poppy seed, barleycorn, rod, pole, perch, chain, furlong, league,
fathom
## formula
if($geo->formula eq 'hsin'){ ... }
$geo->formula('cos');
Allows you to retrieve and set the formula that is currently being used to
calculate distances. The available formulas are hsin, polar, cos and mt. hsin
is the default and mt/cos are deprecated in favor of hsin. Polar should be used
when calculating coordinates near the poles.
## reg\_unit
$geo->reg_unit( $radius, $key );
$geo->reg_unit( $key1 => $key2 );
$geo->reg_unit( $count1, $key1 => $key2 );
$geo->reg_unit( $key1 => $count2, $key2 );
$geo->reg_unit( $count1, $key1 => $count2, $key2 );
This method is used to create custom unit types. There are several ways of calling it,
depending on if you are defining the unit from scratch, or if you are basing it off
of an existing unit (such as saying 12 inches = 1 foot ). When defining a unit from
scratch you pass the name and rho (radius of the earth in that unit) value.
So, if you wanted to do your calculations in human adult steps you would have to have an
average human adult walk from the crust of the earth to the core (ignore the fact that
this is impossible). So, assuming we did this and we came up with 43,200 steps, you'd
do something like the following.
# Define adult step unit.
$geo->reg_unit( 43200, 'adult step' );
# This can be read as "It takes 43,200 adult_steps to walk the radius of the earth".
Now, if you also wanted to do distances in baby steps you might think "well, now I
gotta get a baby to walk to the center of the earth". But, you don't have to! If you do some
research you'll find (no research was actually conducted) that there are, on average,
4.7 baby steps in each adult step.
# Define baby step unit.
$geo->reg_unit( 4.7, 'baby step' => 'adult step' );
# This can be read as "4.7 baby steps is the same as one adult step".
And if we were doing this in reverse and already had the baby step unit but not
the adult step, you would still use the exact same syntax as above.
## distance
my $distance = $geo->distance( 'unit_type', $lon1,$lat1 => $lon2,$lat2 );
Calculates the distance between two lon/lat points.
## closest
my $locations = $geo->closest(
dbh => $dbh,
table => $table,
lon => $lon,
lat => $lat,
unit => $unit_type,
distance => $dist_in_unit
);
This method finds the closest locations within a certain distance and returns an
array reference with a hash for each location matched.
The closest method requires the following arguments:
dbh - a DBI database handle
table - a table within dbh that contains the locations to search
lon - the longitude of the center point
lat - the latitude of the center point
unit - the unit of measurement to use, such as "meter"
distance - the distance, in units, from the center point to find locations
The following arguments are optional:
lon_field - the name of the field in the table that contains the longitude, defaults to "lon"
lat_field - the name of the field in the table that contains the latitude, defaults to "lat"
fields - an array reference of extra field names that you would like returned with each location
where - additional rules for the where clause of the sql
bind - an array reference of bind variables to go with the placeholders in where
sort - whether to sort the locations by their distance, making the closest location the first returned
count - return at most these number of locations (implies sort => 1)
This method uses some very simplistic calculations to SQL select out of the dbh. This
means that the SQL should work fine on almost any database (only tested on MySQL and SQLite so far) and
this also means that it is fast. Once this sub set of locations has been retrieved
then more precise calculations are made to narrow down the result set. Remember, though, that
the farther out your distance is, and the more locations in the table, the slower your searches will be.
# FORMULAS
`cos` - See [GIS::Distance::Cosine](https://metacpan.org/pod/GIS::Distance::Cosine).
`gcd` - See [GIS::Distance::GreatCircle](https://metacpan.org/pod/GIS::Distance::GreatCircle).
`hsin` - See [GIS::Distance::Haversine](https://metacpan.org/pod/GIS::Distance::Haversine).
`mt` - See [GIS::Distance::MathTrig](https://metacpan.org/pod/GIS::Distance::MathTrig).
`polar` - See [GIS::Distance::Polar](https://metacpan.org/pod/GIS::Distance::Polar).
`tv` - See [GIS::Distance::Vincenty](https://metacpan.org/pod/GIS::Distance::Vincenty).
# AUTHORS
Aran Clary Deltac
gray
Anirvan Chatterjee
Ævar Arnfjörð Bjarmason
Niko Tyni
# LICENSE
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.