Michael Fuhr wrote:
I wrote a haversine() function that uses the Haversine Formula to
calculate the great circle distance between two points on a sphere
(assuming the earth is a perfect sphere is accurate enough for my uses).
Here's a web site with related info:

http://www.census.gov/cgi-bin/geo/gisfaq?Q5.1

[...snip...]


Here's the meat of the function (written in C); the coordinates have by
now been converted to radians:

[...snip...]


If anybody's interested I'll post the entire file.

FWIW, here's a plpgsql function I wrote a while ago based on the Haversine formula:


CREATE FUNCTION "zipdist" (float8,float8,float8,float8 ) RETURNS float8 AS '
DECLARE
lat1 ALIAS FOR $1;
lon1 ALIAS FOR $2;
lat2 ALIAS FOR $3;
lon2 ALIAS FOR $4;
dist float8;
BEGIN
dist := 0.621 * 6371.2 * 2 *
atan2( sqrt(abs(0 + pow(sin(radians(lat2)/2 -
radians(lat1)/2),2) + cos(radians(lat1)) * cos(radians(lat2)) *
pow(sin(radians(lon2)/2 - radians(lon1)/2),2))),sqrt(abs(1 -
pow(sin(radians(lat2)/2 - radians(lat1)/2),2) + cos(radians(lat1)) *
cos(radians(lat2)) * pow(sin(radians(lon2)/2 - radians(lon1)/2),2))));
return dist;
END;
' LANGUAGE 'plpgsql';


I used the following PHP code to start looking for a match in a small circle, and then expand it if no matches were found:

$dist = INIT_DIST;
$cnt = 0;
$cntr = 0;
do {
     if ((! $zip == "") && (! $dist <= 0)) {
         $sql = get_zip_sql($lon1d,$lat1d,$dist,$numtoshow);
         $rs = connexec($conn,$sql);
         $rsf = rsfetchrs($rs);
         $dist *= 2;
         $cntr++;
     } else {
         $cntr = 10;
     }
} while (count($rsf) < $numadvisorstoshow && $cntr < 10);

Hopefully you get the idea. You can narrow the results using a box to make the query perform better, and then sort by distance to get the closest alternative. Here's the related part of get_zip_sql():

function get_zip_sql($lon1d,$lat1d,$dist,$numtoshow)
{
  $sql = "
    SELECT DISTINCT <fields>
    FROM tbl_a AS a
     ,tbl_d AS d
     ,tbl_a_zipcodes AS az
     ,tbl_zipcodes as z
    WHERE
     abs(z.lat - $lat1d) * 60 * 1.15078 <= $dist
     and abs(z.long - $lon1d) * 60 * 1.15078 <= $dist
     and zipdist($lat1d,$lon1d,lat,long) <= $dist
     and z.zip = az.zipcode
     <other criteria>
    ORDER BY
    LIMIT $numtoshow;
  ";

  return $sql;
}

The "X * 60 * 1.15078" converts differences in degrees lat/long into rough distances in miles.

Hope this helps.

Joe



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