Esempio n. 1
0
//holds the zipcode
$templatitude = $dbarray1[1];
//holds the latitude
$templongitude = $dbarray1[2];
//holds the longitude
//$provarray = array();		//will hold all the provider keys in the order in which they were processed
//$distarray = array();		//will hold all the distances in the order in which they were processed
$mergearray = array();
//will hold providerkeys+distances in the order in which they were provessed
//foreach($dbarray2 as $dbarray[$i])
while ($dbarray[$i] = mysql_fetch_array($result2)) {
    //echo $templatitude.", ".$templongitude."---".$dbarray[$i]['Latitude'].", ".$dbarray[$i]['Longitude']."<br>";
    //$provarray= $dbarray[$i]['provider_key'];
    //$distarray= straight_line_distance($templatitude,$templongitude,$dbarray[$i]['Latitude'],$dbarray[$i]['Longitude']);
    if ($dbarray[$i][1] != 0) {
        $mergearray[] = $dbarray[$i][0] . haversine($templatitude, $templongitude, $dbarray[$i][1], $dbarray[$i][2]);
    }
}
//Sort top results based on the selection by the user.
//$testVar = testFunc();
//echo $testVar;
$mergearray = quickSortRecursive($mergearray);
$no_of_results = (int) $no_of_results;
$no_of_results = $no_of_results + 5;
// Array to hold distances
$dbarray_dist;
//calc geocoded distance between top results
//$result = array();
for ($i = 0; $i < $no_of_results; $i++) {
    //If distance is greater than 250 do not include the facility . 200 is used here as all distances are straight line distances and not driving.
    if (substr($mergearray[$i], 10) < 200) {
Esempio n. 2
0
function geolookupByLatLon($lat, $lon)
{
    $db = mysql_connect("localhost", "havard", "zo1nk");
    mysql_select_db("nrktilaatapaa");
    //$sql = "SELECT * FROM geolookup WHERE (hp('intval', lat) = 60 AND php('intval', lon) = 7)";
    $sql = "SELECT * FROM geolookup WHERE FLOOR(lat) = " . intval($lat) . " AND FLOOR(lon) = " . intval($lon);
    $result = mysql_query($sql);
    $closest = false;
    $dist = -1;
    while ($r = mysql_fetch_assoc($result)) {
        #$rdist = haversine($lat, $r["LAT"], $lon, $r["LON"]);
        $rdist = haversine($lat, $lon, $r["LAT"], $r["LON"]);
        #printf("distance is %s to %s\n", $rdist, $r["MUNICIP"]);
        if ($rdist < $dist || $dist == -1) {
            $dist = $rdist;
            $closest = $r;
        }
    }
    #var_dump($closest, $dist);
    $c = intval(substr($closest["MUNICIP"], 0, 2));
    return array("municipalitycode" => $closest["MUNICIP"], "lat" => $lat, "lon" => $lon, "county" => $c, "countyname" => countyNameByCode($c));
}
Esempio n. 3
0
 /**
  * Uses the haversine formula to calculate the distance between 2 points.
  *
  * @param Point $point1
  * @param Point $point2
  *
  * @return float distance in radians
  */
 public static function haversine(Point $point1, Point $point2)
 {
     if (function_exists('haversine') && self::$useSpatialExtension) {
         $from = $point1->jsonSerialize();
         $to = $point2->jsonSerialize();
         $radDistance = haversine($from, $to, 1);
     } else {
         $lat1 = $point1->latitudeToRad();
         $lon1 = $point1->longitudeToRad();
         $lat2 = $point2->latitudeToRad();
         $lon2 = $point2->longitudeToRad();
         $distanceLat = $lat1 - $lat2;
         $distanceLong = $lon1 - $lon2;
         $radDistance = sin($distanceLat / 2) * sin($distanceLat / 2) + cos($lat1) * cos($lat2) * sin($distanceLong / 2) * sin($distanceLong / 2);
         $radDistance = 2 * atan2(sqrt($radDistance), sqrt(1 - $radDistance));
     }
     return $radDistance;
 }