I've been asked a number of times how to construct a radius search in miles for point coordinates. This is a pretty simple thing to do once it is realized that true circles are hard to deal with using latitude and longitude coordinates. I've found the best method is not to use a circle and a radius but instead construct a circular polygon using a haversine formula to compute the verticies of the polygon from a center point. Here's an example using Perl to compute such a polygon for a radius of 20 miles with a zip code of 38654 as the center point (centroid courtesy of Google Map API Geocoder).

#!/usr/bin/perl -w

use strict ;

my $radius = 20 ;

my $clat = 34.918 ;

my $clng = -89.8215 ;

my $PI = 3.141593 ;

my $d2r = $PI/180 ;

my $r2d = 180/$PI ;

my $lat = ($radius/3963) * $r2d ;

my $lng = $lat/cos($clat * $d2r);

my @points = ( ) ;

my $i = 0 ;

my $x = '' ;

my $y = '' ;

for ($i = 0 ; $i < 13 ; $i++)

{

$y = sprintf("%0.6f",$clng + ($lng * cos($PI * ($i/6)))) ;

$x = sprintf("%0.6f",$clat + ($lat * sin($PI * ($i/6)))) ;

push( @points, [$x,$y] ) ;

}

foreach $x ( @points )

{

print "$$x[0],$$x[1]\n" ;

}

Results of this calculation:

34.918000,-89.468862

35.062577,-89.516106

35.168414,-89.645181

35.207154,-89.821500

35.168414,-89.997819

35.062577,-90.126894

34.918000,-90.174138

34.773423,-90.126894

34.667586,-89.997819

34.628846,-89.821500

34.667586,-89.645181

34.773423,-89.516106

34.918000,-89.468862

This is how it looks on a map:

The same basic code in Javascript can be found in this example page:

Once the polygon has been constructed, the search method depends on the database being used. I prefer Postgres or PostGIS, both of which have exceptional spatial functions built in.