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LatLon distance

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4.6 | 8 ratings Rate this file 128 Downloads (last 30 days) File Size: 1.64 KB File ID: #38812 Version: 1.0
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LatLon distance



Find distance between two points based on latlon coordinates

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This functions finds distance (in km) between two points on Earth using latitude-longitude coordinates of the two points. Distance is calculated using two distance funstions: Haversine and Pythagoran. The first output is based on Haversine function, which is more accurate especially for longer distances.

  latlon1: latlon of origin point [lat lon]
  latlon2: latlon of destination point [lat lon]

  d1km: distance calculated by Haversine formula
  d2km: distance calculated based on Pythagoran theorem

--Example 1, short distance:
  latlon1=[-43 172];
  latlon2=[-44 171];
  [d1km d2km]=distance(latlon1,latlon2)
  d1km =
          137.365669065197 (km)
  d2km =
          137.368179013869 (km)
  %d1km approximately equal to d2km

--Example 2, longer distance:
  latlon1=[-43 172];
  latlon2=[20 -108];
  [d1km d2km]=distance(latlon1,latlon2)
  d1km =
          10734.8931427602 (km)
  d2km =
          31303.4535270825 (km)
  d1km is significantly different from d2km (d2km is not able to work for longer distances).


This file inspired Pathdist.

MATLAB release MATLAB 7.7 (R2008b)
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Comments and Ratings (10)
15 Sep 2016 M Sohrabinia

@Seb: decimal degrees as shown in the examples. Thanks for rating the code.

Comment only
15 Sep 2016 M Sohrabinia

@Justin: thanks for the suggestions Justin, I will try to get back to this, have been away from Matlab for the last couple of years. I acknowledge I have not spent a lot work on handling the exceptions, the aim was to calculate the correct distance which I believe it does.

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01 Jun 2016 Aticha Boousuwan  
18 Apr 2016 Rafael D  
05 Mar 2016 sandeep manjanna  
30 Nov 2015 Seb Biass


Just a question, are inputs in deg min sec or decimal degrees?


09 Nov 2015 DHRUPAL SHAH

Straight forward. Handy function for GPS users

17 Apr 2015 Justin Winokur

This code does what it says it should but there are two 2-minute changes to make it much better:

1) make all operations vectorized so you can put a list of lat,lon coordinates. Basically, add a "." before everything. Super easy and much better

2) Add a check for NaN's. If two points are too close, you get NaN when it should be zero. Very easy to do:

>> d1km(isnan(d1km)) = 0;

I hope this helps

17 Mar 2014 Tianyang Li  
13 May 2013 Ian Shapiro

Simple but effective. Does just what it needs to do.

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