How to calculate distance from lat/long in php?

半腔热情 提交于 2019-11-28 08:34:50

I did this a few weeks ago.

This link is your best bet:

http://code.google.com/apis/maps/articles/phpsqlsearch.html

Even if you don't use their API, their PHP and SQL query helped really well.

i would not recommend dumping distance calculations in your sql statement, even though i admit that the solution presented by 'denil' is ingenious.

there are 3 downsides: code maintenance, sql server overload AND (above all) the earth is not symmetrical (it is like an old dented baseball that was run over by a truck). this means that you might want to change the code in the future (there are some VERY sophisticated algorithms out there - http://en.wikipedia.org/wiki/Geographical_distance).

i recommend using a separate function that calculates distance with a simple common algorithm (similar if not identical to denil's). i submit this code which is pure php (no need to use googlemaps api):

<?php

function distanceGeoPoints ($lat1, $lng1, $lat2, $lng2) {

    $earthRadius = 3958.75;

    $dLat = deg2rad($lat2-$lat1);
    $dLng = deg2rad($lng2-$lng1);


    $a = sin($dLat/2) * sin($dLat/2) +
       cos(deg2rad($lat1)) * cos(deg2rad($lat2)) *
       sin($dLng/2) * sin($dLng/2);
    $c = 2 * atan2(sqrt($a), sqrt(1-$a));
    $dist = $earthRadius * $c;

    // from miles
    $meterConversion = 1609;
    $geopointDistance = $dist * $meterConversion;

    return $geopointDistance;
}

// YOUR CODE HERE
echo distanceGeoPoints(22,50,22.1,50.1);

?>

there are a number of free softwares (try gps trackmaker) that will allow you to check the margin of error for your part of the globe (if you need precision). for the above lat/long pair, the error is within +/- 0.1% (according to local topographers).

ATTENTION: this formula gives you CARTOGRAPHIC distance (distance at sea level), not TOPOGRAPHIC distance (disconsiders topography).

Try this query. I found this one when googling but forgot who created it

SELECT a.*,
            3956 * 2 * ASIN(SQRT( POWER(SIN(($lat - lat) * pi()/180 / 2), 2) + COS($lat * pi()/180) * COS(lat * pi()/180) *
            POWER(SIN(($long - longi) * pi()/180 / 2), 2) )) as
            distance FROM table
            GROUP BY id HAVING distance <= 500 ORDER by distance ASC

$lat and $long variable is the current position of user. lat and longi is the latitude and longitudle of entries

http://www.geodatasource.com/developers/php

<?php

/*::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::*/
/*::                                                                         :*/
/*::  This routine calculates the distance between two points (given the     :*/
/*::  latitude/longitude of those points). It is being used to calculate     :*/
/*::  the distance between two locations using GeoDataSource(TM) Products    :*/
/*::                                                                         :*/
/*::  Definitions:                                                           :*/
/*::    South latitudes are negative, east longitudes are positive           :*/
/*::                                                                         :*/
/*::  Passed to function:                                                    :*/
/*::    lat1, lon1 = Latitude and Longitude of point 1 (in decimal degrees)  :*/
/*::    lat2, lon2 = Latitude and Longitude of point 2 (in decimal degrees)  :*/
/*::    unit = the unit you desire for results                               :*/
/*::           where: 'M' is statute miles                                   :*/
/*::                  'K' is kilometers (default)                            :*/
/*::                  'N' is nautical miles                                  :*/
/*::  Worldwide cities and other features databases with latitude longitude  :*/
/*::  are available at http://www.geodatasource.com                          :*/
/*::                                                                         :*/
/*::  For enquiries, please contact sales@geodatasource.com                  :*/
/*::                                                                         :*/
/*::  Official Web site: http://www.geodatasource.com                        :*/
/*::                                                                         :*/
/*::         GeoDataSource.com (C) All Rights Reserved 2014                  :*/
/*::                                                                         :*/
/*::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::*/
function distance($lat1, $lon1, $lat2, $lon2, $unit) {

  $theta = $lon1 - $lon2;
  $dist = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) +  cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($theta));
  $dist = acos($dist);
  $dist = rad2deg($dist);
  $miles = $dist * 60 * 1.1515;
  $unit = strtoupper($unit);

  if ($unit == "K") {
    return ($miles * 1.609344);
  } else if ($unit == "N") {
      return ($miles * 0.8684);
    } else {
        return $miles;
      }
}

echo distance(32.9697, -96.80322, 29.46786, -98.53506, "M") . " Miles<br>";
echo distance(32.9697, -96.80322, 29.46786, -98.53506, "K") . " Kilometers<br>";
echo distance(32.9697, -96.80322, 29.46786, -98.53506, "N") . " Nautical Miles<br>";

?>

Tested like 3 functions and 3 queries and only one showed good distance:

In meters:

SELECT *,
(
    (((acos(sin((".$latitude."*pi()/180)) * sin((`latitude`*pi()/180))+cos((".$latitude."*pi()/180))    * cos((`latitude`*pi()/180)) * cos(((".$longitude."- `longitude`)*pi()/180))))*180/pi())*60*1.1515*1.609344) 
    * 1000
) as `distance`
FROM `table`
ORDER BY `distance` ASC

In kilometers:

SELECT *,
(
    (((acos(sin((".$latitude."*pi()/180)) * sin((`latitude`*pi()/180))+cos((".$latitude."*pi()/180))    * cos((`latitude`*pi()/180)) * cos(((".$longitude."- `longitude`)*pi()/180))))*180/pi())*60*1.1515*1.609344) 
) as `distance`
FROM `table`
ORDER BY `distance` ASC

This query was perfect for me:

$latitude = "23.139422";  //your current lat
$longitude = "-82.382617"; //your current long

SELECT ( 3959 * acos( cos( radians( '.$latitude.' ) ) * cos( radians( latitude ) ) * 
 cos( radians( longitude ) - radians( '.$longitude.' ) ) + sin( radians( '.$latitude.' )
 ) * sin( radians( latitude ) ) ) ) AS distance from TABLE 
 HAVING distance <= 100 ORDER BY distance ASC

Simple and easiest way

<?php
    $lat1 = Yourstart_latitude;
    $lon1 = Yourstart_longitude;
    $lat2 = Yourend_latitude;
    $lon2 = Yourend_longitude;
    $theta = $lon1 - $lon2;
    $dist = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) +cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($theta));
                              $dist = acos($dist);
                              $dist = rad2deg($dist);
                              $miles= $dist * 60 * 1.1515;
                              $unit = 'K';
                                $km   = $miles*1.609344;
                              echo number_format($km,1);
                            ?>
sabin

Use distance-matrix google api to calculate distance between latitude and longitude.

$ch = curl_init();
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_URL, 
    'https://maps.googleapis.com/maps/api/distancematrix/json?origins='.$prev_add.'&destinations='.$curr_add.'&key=keyyouhavetogenerate'
);
$content = curl_exec($ch);
$array = json_decode($content);
$obj = json_decode($content, TRUE);

$distance = $obj['rows'][0]['elements'][0]['distance']['text'];

to use this api you will need key,to know more about how to generate key visit https://developers.google.com/maps/documentation/distance-matrix/intro

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!