How do I calculate the distance between two points specified by latitude and longitude?

For clarification, I&#39;d like the distance in kilometers; the points use the WGS84 system and I&#39;d like to understand the relative accuracies of the approaches available.

Calculate distance between two latitude-longitude points? (Haversine formula)

The `LocationManager` API on Android seems like it&#39;s a bit of a pain to use for an application that only needs an occasional and rough approximation of the user&#39;s location.

The app I&#39;m working on isn&#39;t really a location app per se, but it does need to get the user&#39;s location in order to display a list of nearby businesses.  It doesn&#39;t need to worry about if the user is moving around or anything like that.

Here&#39;s what I&#39;d like to do:

 1. Show the user a list of nearby locations.
 2. Preload the user&#39;s location so that by the time I need it in `Activity` X, it will be available.
 3. I don&#39;t particularly care about accuracy or frequency of update. Just grabbing one location is sufficient as long as it&#39;s not way off. Maybe if I want to be fancy I&#39;ll update the location once every few mins or so, but it&#39;s not a huge priority.
 4. Work for any device as long as it has either a GPS or a Network Location provider.

It seems like it shouldn&#39;t be that hard, but it appears to me that I have to spin up two different location providers (GPS and NETWORK) and manage each&#39;s lifecycle. Not only that, but I have to duplicate the same code in multiple activities to satisfy #2. I&#39;ve tried using `getBestProvider()` in the past to cut the solution down to just using one location provider, but that seems to only give you the best &quot;theoretical&quot; provider rather than the provider that&#39;s actually going to give you the best results.

Is there a simpler way to accomplish this?


What is the simplest and most robust way to get the user&#39;s current location on Android?

Bearing in mind that I&#39;ll be performing calculations on lat / long pairs, what datatype is best suited for use with a MySQL database?


What is the ideal data type to use when storing latitude / longitude in a MySQL database?

How do I calculate distance between two GPS coordinates (using latitude and longitude)?

Calculate distance between 2 GPS coordinates

Given the latitude and longitude of a location, how does one know what time zone is in effect in that location?

In most cases, we are looking for an IANA/Olson time zone id, although some services may return just a UTC offset, or some other time zone identifier.  Please read the [timezone tag info][1] for details.


  [1]: https://stackoverflow.com/tags/timezone/info

How to get a time zone from a location using latitude and longitude coordinates?

How many digits can latitude and longitude have, before the decimal, and after the decimal?

Here is an example I am getting from the location sent by a Windows Phone device:

    Latitude=-63572375290155
    Longitude=106744840359415

This is very long and is exceeding my table column size and causes errors.

What are the lengths of Location Coordinates, latitude and longitude?

When storing latitude or longitude data in an ANSI SQL compliant database, what datatype would be most appropriate? Should `float` be used, or `decimal`, or ...?

I&#39;m aware that Oracle, MySql, and SQL Server have added some special datatypes specifically for handling geo data, but I&#39;m interested in how you would store the information in a &quot;plain vanilla&quot; SQL database.

What datatype to use when storing latitude and longitude data in SQL databases?

I am newbie to PostgreSQL and PostGIS. I want to store latitude and longitude values in PostgreSQL 9.1.1  database table. I will calculate distance between two points, find nearer points by using this location values.

Which data type should I use for latitude and longitude?

Which data type for latitude and longitude?

Given a set of latitude and longitude points, how can I calculate the latitude and longitude of the center point of that set (aka a point that would center a view on all points)?


EDIT:  Python solution I&#39;ve used:

&lt;!-- language: lang-py --&gt;

    Convert lat/lon (must be in radians) to Cartesian coordinates for each location.
    X = cos(lat) * cos(lon)
    Y = cos(lat) * sin(lon)
    Z = sin(lat)
    
    Compute average x, y and z coordinates.
    x = (x1 + x2 + ... + xn) / n
    y = (y1 + y2 + ... + yn) / n
    z = (z1 + z2 + ... + zn) / n
    
    Convert average x, y, z coordinate to latitude and longitude.
    Lon = atan2(y, x)
    Hyp = sqrt(x * x + y * y)
    Lat = atan2(z, hyp)

Calculate the center point of multiple latitude/longitude coordinate pairs

When dealing with GIS source code you often need to write latitude and longitude coordinate tuples.

E.g. in Google Maps links (123, 456):

http://maps.google.com/maps/ms?msid=214518704716144912556.00046d7689a99e95b721c&amp;msa=0&amp;ll=123,456&amp;spn=0.007996,0.026865

Which is preferred order (and why?)

* latitude, longitude

* longitude, latitude

I have seen both being used in various systems and I hope to find some evidence to stick with other one. 

Is there a standard practice, and if so, what is it / what are they?



Preferred order of writing latitude &amp; longitude tuples in GIS services

I&#39;m calculating the distance between two GeoCoordinates. I&#39;m testing my app against 3-4 other apps. When I&#39;m calculating distance, I tend to get an average of 3.3 miles for my calculation whereas other apps are getting 3.5 miles. It&#39;s a big difference for the calculation I&#39;m trying to perform. Are there any good class libraries out there for calculating distance? I&#39;m calculating it like this in C#:

    public static double Calculate(double sLatitude,double sLongitude, double eLatitude, 
                                   double eLongitude)
    {
        var radiansOverDegrees = (Math.PI / 180.0);

        var sLatitudeRadians = sLatitude * radiansOverDegrees;
        var sLongitudeRadians = sLongitude * radiansOverDegrees;
        var eLatitudeRadians = eLatitude * radiansOverDegrees;
        var eLongitudeRadians = eLongitude * radiansOverDegrees;

        var dLongitude = eLongitudeRadians - sLongitudeRadians;
        var dLatitude = eLatitudeRadians - sLatitudeRadians;

        var result1 = Math.Pow(Math.Sin(dLatitude / 2.0), 2.0) + 
                      Math.Cos(sLatitudeRadians) * Math.Cos(eLatitudeRadians) * 
                      Math.Pow(Math.Sin(dLongitude / 2.0), 2.0);

        // Using 3956 as the number of miles around the earth
        var result2 = 3956.0 * 2.0 * 
                      Math.Atan2(Math.Sqrt(result1), Math.Sqrt(1.0 - result1));

        return result2;
    }

What could I be doing wrong? Should I calculate it in km first and then convert to miles?

Calculating Distance between two Latitude and Longitude GeoCoordinates

What is the best data type to use when storing geopositional data in C#? I would use decimal for its exactness, but operations on decimal floating point numbers are slower then binary floating point numbers (double).

I read that most of the time you won&#39;t need any more than 6 or 7 digits of precision for latitude or longitude. Does the inexactness of doubles even matter then or can it be ignored?

Double or decimal for latitude/longitude values in C#

Here&#39;s my try, it&#39;s just a snippet of my code:

    final double RADIUS = 6371.01;
    double temp = Math.cos(Math.toRadians(latA))
                * Math.cos(Math.toRadians(latB))
                * Math.cos(Math.toRadians((latB) - (latA)))
                + Math.sin(Math.toRadians(latA))
                * Math.sin(Math.toRadians(latB));
        return temp * RADIUS * Math.PI / 180;

I am using this formulae to get the latitude and longitude:

    x = Deg + (Min + Sec / 60) / 60)


Calculating distance between two points, using latitude longitude?

Is there a way to get a city name from a latitude and longitude point using the google maps api for javascript?

If so could I please see an example?

How can I get city name from a latitude and longitude point?

I&#39;m designing a table in SQL Server 2008 that will store a list of users and a Google Maps co-ordinate (longitude &amp; latitude).

Will I need two fields, or can it be done with 1?

What&#39;s the best (or most common) data-type to use for storing this kind of data?

What&#39;s the best way to store co-ordinates (longitude/latitude, from Google Maps) in SQL Server?

Given an existing point in lat/long, distance in (in KM) and bearing (in degrees converted to radians), I would like to calculate the new lat/long. [This](http://www.movable-type.co.uk/scripts/latlong.html) site crops up over and over again, but I just can&#39;t get the formula to work for me. 

The formulas as taken the above link are:

    lat2 = asin(sin(lat1)*cos(d/R) + cos(lat1)*sin(d/R)*cos(θ))

    lon2 = lon1 + atan2(sin(θ)*sin(d/R)*cos(lat1), cos(d/R)−sin(lat1)*sin(lat2))
The above formula is for MSExcel where-  

    asin          = arc sin()   
    d             = distance (in any unit)   
    R             = Radius of the earth (in the same unit as above)  
    and hence d/r = is the angular distance (in radians)  
    atan2(a,b)    = arc tan(b/a)  
    θ is the bearing (in radians, clockwise from north);  



Here&#39;s the code I&#39;ve got in Python.

    import math

    R = 6378.1 #Radius of the Earth
    brng = 1.57 #Bearing is 90 degrees converted to radians.
    d = 15 #Distance in km
    
    #lat2  52.20444 - the lat result I&#39;m hoping for
    #lon2  0.36056 - the long result I&#39;m hoping for.

    lat1 = 52.20472 * (math.pi * 180) #Current lat point converted to radians
    lon1 = 0.14056 * (math.pi * 180) #Current long point converted to radians

    lat2 = math.asin( math.sin(lat1)*math.cos(d/R) +
                 math.cos(lat1)*math.sin(d/R)*math.cos(brng))

    lon2 = lon1 + math.atan2(math.sin(brng)*math.sin(d/R)*math.cos(lat1),
                         math.cos(d/R)-math.sin(lat1)*math.sin(lat2))

    print(lat2)
    print(lon2)
 
I get 

    lat2 = 0.472492248844 
    lon2 = 79.4821662373



Get lat/long given current point, distance and bearing

Given a database of places with Latitude + Longitude locations, such as 40.8120390, -73.4889650, how would I find all locations within a given distance of a specific location?

It doesn&#39;t seem very efficient to select all locations from the DB and then go through them one by one, getting the distance from the starting location to see if they are within the specified distance. Is there a good way to narrow down the initially selected locations from the DB? Once I have (or don&#39;t?) a narrowed down set of locations, do I still go through them one by one to check the distance, or is there a better way?

The language I do this in doesn&#39;t really matter. Thanks!

Algorithm to find all Latitude Longitude locations within a certain distance from a given Lat Lng location

please shed some light on this situation

Right now i have two array having latitude and longitude of nearby places and also have the user location latiude and longiude now i want to calculate the distance between user location and nearby places and want to show them in listview.

I know that there is a method for calculating distance as

    public static void distanceBetween (double startLatitude, double startLongitude, double endLatitude, double endLongitude, float[] results);

Now what is the problem is how to pass these two array having nearby latitude and longitue in this method and get the array of distances.

Calculating distance between two geographic locations

When storing latitudes/longitudes which are typically of the format: 44.087585 (i.e. max 2 numbers before the dot and 6dp) do I need to bother with bigdecimals?

Java double vs BigDecimal for latitude/longitude

&gt; **Possible Duplicate:**  
&gt; [Working with latitude/longitude values in Java](https://stackoverflow.com/questions/120283/working-with-latitude-longitude-values-in-java)  

&lt;!-- End of automatically inserted text --&gt;

### Duplicate:
- [Working with latitude/longitude values in Java][1]
- [How do I calculate distance between two latitude longitude points?][2]

I need to calculate the distance between two points given by two coordinates. The project I am working on is a Java-project, so Java-code will be great, but pseudo-code can also be given, then I can implement it myself :)

As you probably know, there are three ways to represent coordinates:

* Degrees:Minutes:Seconds (49&#176;30&#39;00&quot;N, 123&#176;30&#39;00&quot;W)
* Degrees:Decimal Minutes (49&#176;30.0&#39;, -123&#176;30.0&#39;), (49d30.0m,-123d30.0&#39;)
* Decimal Degrees (49.5000&#176;,-123.5000&#176;), generally with 4-6 decimal numbers.

It&#39;s the third way my coordinates are given in, so the code for this values will be preferred :)

 [1]: https://stackoverflow.com/questions/120283/
 [2]: https://stackoverflow.com/questions/27928/


Calculate distance in meters when you know longitude and latitude in java

I am wanting to find the distance between two different points. This I know can be accomplished with the great circle distance.
&lt;http://www.meridianworlddata.com/Distance-calculation.asp&gt;

Once done, with a point and distance I would like to find the point that distance north, and that distance east in order to create a box around the point.


How can I measure distance and create a bounding box based on two latitude+longitude points in Java?

In a system level programming language like C, C++ or D, what is the best type/encoding for storing latitude and longitude?

The options I see are:

- IEEE-754 FP as degrees or radians
- degrees or radians stored as a fixed point value in an 32 or 64 bit int
- mapping of an integer range to the degree range: -&gt; `deg = (360/2^32)*val`
- degrees, minutes, seconds and fractional seconds stored as bit fields in an int
- a struct of some kind.

The easy solution (FP) has the major down side that it has highly non uniform resolution (somewhere in England it can measure in microns, over in Japan, it can&#39;t). Also this has all the issues of FP comparison and whatnot. The other options require extra effort in different parts of the data&#39;s life cycle. (generation, presentation, calculations etc.)

One interesting option is a floating precision type that where as the Latitude increase it gets more bits and the Longitude gets less (as they get closer together towards the poles).

Related questions that don&#39;t quite cover this:

- [What is the ideal data type to use when storing latitude / longitudes in a MySQL][1]
- [Working with latitude/longitude values in Java][2]

---
BTW: 32 bits gives you an E/W resolution at the equator of about 0.3 in. This is close to the scale that high grade GPS setups can work at (IIRC they can get down to about 0.5 in in some modes).

OTOH if the 32 bits is uniformly distributed over the earth&#39;s surface, you can index squares of about 344m on a side, 5 Bytes give 21m, 6B-&gt;1.3m and 8B-&gt;5mm.

I don&#39;t have a specific use in mind right now but have worked with this kind of thing before and expect to again, at some point.

  [1]: https://stackoverflow.com/questions/159255/
  [2]: https://stackoverflow.com/questions/120283/

proper/best type for storing latitude and longitude

How would I go about converting an address or city to a latitude/longitude? Are there commercial outfits I can &quot;rent&quot; this service from? This would be used in a commercial desktop application on a Windows PC with fulltime internet access.


How to convert an address to a latitude/longitude?

I have geocoded points in long, lat format, and I want to calculate the distance between them using R.  This seems pretty straight forward, yet I can&#39;t find a function that will do it easily.  I&#39;ve been attempting to do it with the gdistance package, but it seems very convoluted and oriented to graphing, I just need a number.  Something like `distanceBetween(pointA,pointB)` that returns a number.  

Function to calculate geospatial distance between two points (lat,long) using R

I&#39;m trying to get latitude and longitude from Autocomplete Google Maps API without showing the map. In my script autocompletion works well, but I can&#39;t get the latitude and longitude.

&lt;!-- begin snippet: js hide: false console: true babel: false --&gt;

&lt;!-- language: lang-js --&gt;

        &lt;script type=&quot;text/javascript&quot;&gt;
           function initialize() {
        
         var options = {
          types: [&#39;(cities)&#39;]
         };
        
         var input = document.getElementById(&#39;searchTextField&#39;);
         var autocomplete = new google.maps.places.Autocomplete(input, options);
        }
           google.maps.event.addDomListener(window, &#39;load&#39;, initialize);
        
           var geocoder = new google.maps.Geocoder();
            var address = autocomplete;
        
        geocoder.geocode( { &#39;address&#39;: address}, function(results, status) {
        
          if (status == google.maps.GeocoderStatus.OK) {
            var latitude = results[0].geometry.location.lat();
            var longitude = results[0].geometry.location.lng();
            alert(latitude);
          } 
        }); 
        
        &lt;/script&gt;

&lt;!-- end snippet --&gt;



Google Maps API - how to get latitude and longitude from Autocomplete without showing the map?

I want to be able to get a estimate of the distance between two (latitude, longitude) points. I want to undershoot, as this will be for A* graph search and I want it to be **fast**. The points will be at most 800 km apart.

How can I quickly estimate the distance between two (latitude, longitude) points?

I&#39;ve heard that it is possible to submit an Address instead of Longitude and Latitude and this would be much more feasible for my system. The user has to input their address when creating their profile and their profile afterwards will then display a Google Maps of their house. I currently have the Google Maps API working perfectly with Longitude and Latitude:

    &lt;head&gt;
        &lt;meta http-equiv=&quot;Content-Type&quot; content=&quot;text/html; charset=UTF-8&quot;/&gt;
	&lt;link rel=&quot;stylesheet&quot; type=&quot;text/css&quot; href=&quot;css.css&quot; /&gt;
        &lt;title&gt;Login Page&lt;/title&gt;

    &lt;meta name=&quot;viewport&quot; content=&quot;initial-scale=1.0, user-scalable=no&quot; /&gt;
    &lt;style type=&quot;text/css&quot;&gt;
      html { height: 100% }
      body { height: 100%; margin: 0; padding: 0 }
      #map-canvas { height: 100% }
    &lt;/style&gt;
    &lt;script type=&quot;text/javascript&quot;
      src=&quot;https://maps.googleapis.com/maps/api/js?key=MYKEY&amp;sensor=false&quot;&gt;
    &lt;/script&gt;
    &lt;script type=&quot;text/javascript&quot;&gt;
      function initialize() {
        var mapOptions = {
	  center: new google.maps.LatLng(52.640143,1.28685),
          zoom: 15,
          mapTypeId: google.maps.MapTypeId.ROADMAP
        };
        var map = new google.maps.Map(document.getElementById(&quot;map&quot;),
            mapOptions);

	var marker = new google.maps.Marker({
		position: new google.maps.LatLng(52.640143,1.28685),
		map: map,
		title: &quot;Mark On Map&quot;
	});
      }
      google.maps.event.addDomListener(window, &#39;load&#39;, initialize);
    &lt;/script&gt;

    &lt;/head&gt;

Please could somebody assist me to alter my code so that it enables the Google Maps API to request an Address in its place because I want to read the Address of the user directly from mySQL database.

Using Address Instead Of Longitude And Latitude With Google Maps API

I am searching the place in my apps using the google autocomplete place api and now I want to get latitude and longitude of the place that i have searched. How to get latitude and longitude from the result returned by autocomplete place api by google in android?

All Latitude Longitude Solutions on Gang of Coders

Total of 28 Latitude Longitude Solutions