# How to calculate distance from lat/long in php?

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How to calculate distance from lat/long in php? – Here in this article, we will share some of the most common and frequently asked about PHP problem in programming with detailed answers and code samples. There’s nothing quite so frustrating as being faced with PHP errors and being unable to figure out what is preventing your website from functioning as it should like php and latitude-longitude . If you have an existing PHP-based website or application that is experiencing performance issues, let’s get thinking about How to calculate distance from lat/long in php?.

What I am trying to do is I have entries in the database which have a lat/long stored with them. I want to calculate the distance between users lat/long and entries lat/long (in DB). After that, I want to echo the ones with distance less than 500 meters. So far I am able to do this using `foreach`.

``````<?php
mysql_connect("localhost", "beepbee_kunwarh", "kunwar") or die('MySQL Error.');
mysql_select_db("beepbee_demotest") or die('MySQL Error.');

\$Lat = \$_REQUEST['Lat'];
\$long = \$_REQUEST['long'];

\$query = mysql_query("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 - long) * pi()/180 / 2), 2) )) as distance FROM userResponse GROUP BY beepid HAVING distance <= 500 ORDER by distance ASC;");
\$data = array();
while (\$row = mysql_fetch_array(\$query)) {
\$data[] = \$row;
}
echo json_encode(\$data);
?>
``````

Solution :

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) {

\$a = sin(\$dLat/2) * sin(\$dLat/2) +
sin(\$dLng/2) * sin(\$dLng/2);
\$c = 2 * atan2(sqrt(\$a), sqrt(1-\$a));

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

return \$geopointDistance;
}

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).

I did this a few weeks ago.

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

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                          :*/
/*::                                                                         :*/
/*::                                                                         :*/
/*::  Official Web site: http://www.geodatasource.com                        :*/
/*::                                                                         :*/
/*::                                                                         :*/
/*::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::*/
function distance(\$lat1, \$lon1, \$lat2, \$lon2, \$unit) {

\$theta = \$lon1 - \$lon2;
\$dist = acos(\$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 ) ) *
) * 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 = acos(\$dist);
\$miles= \$dist * 60 * 1.1515;
\$unit = 'K';
\$km   = \$miles*1.609344;
echo number_format(\$km,1);
?>
``````

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,
);
\$content = curl_exec(\$ch);
\$array = json_decode(\$content);
\$obj = json_decode(\$content, TRUE);

\$distance = \$obj['rows']['elements']['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

For those trying to stay away from Google (and others) APIs, I’ve been using this one for a while.

Because the earth is round, it will have some weird results for large scale radius submissions. It will work fine for locations within ~500 miles of each other.

``````/**
* The max Latitude and Longitude coordinates within a specified milage radius.
*
* @param int \$miles
* @param float \$longitude
* @param float \$latitude
*
* @return array
*/
public function getMaxCoordinates(\$miles = 50, \$longitude, \$latitude) {
\$oneDegree = 69; // 69 Miles = 1 degree

// Calculate the minimum/maximum possible coordinates.
\$lng_min = \$longitude - \$miles / abs(cos(deg2rad(\$latitude)) * \$oneDegree);
\$lng_max = \$longitude + \$miles / abs(cos(deg2rad(\$latitude)) * \$oneDegree);
\$lat_min = \$latitude  - (\$miles / \$oneDegree);
\$lat_max = \$latitude  + (\$miles / \$oneDegree);

return ([
'lat_max' => \$lat_max,
'lat_min' => \$lat_min,
'lng_max' => \$lng_max,
'lng_min' => \$lng_min,
'miles'   => \$miles,
]);
}
``````