Distance between two lat,lon points

Is it ok to compare distances in a classic way (distance between 2 points: d = sqrt(pow(lat2-lat1, 2) + pow(lon2-lon1, 2)) ) using the latitude and longitude returned from google apis without any transformation to meters or sth? I need it just for a comparison to find the closest point from a series of points to a reference point. For example:

Lets say we have two (lat,lon) points: (40.2535425,22.88245345) and (40.2开发者_C百科565795,22.8884539) and we want to find witch is closest to (40.2335425,22.83245345). Is it ok to apply the above code to find the distances? Or we need to find the distance, lets say in meters (using the haversine formula or whatever), first for each point from the reference point and then compare the values ?

I ask this question because I don't know what exactly are the values returned by google apis as lat, lon! I mean the are not deg-min-sec are they ?

Thanks...

No, because lines of longitude converge towards the poles. If your points are relatively close together, you can approximate the distance thus:

d = sqrt(pow(lat2-lat1, 2) + cos(lat1)*pow(lon2-lon1, 2))

If you need greater accuracy over large distances, there are several fancy formulae for computing great-circle distances, but I find it simpler to convert to 3D coordinates on a unit circle then do a simple pythagorean distance, followed by 2 sin^-1(d/2) to convert back to an angle (though I can understand that some might find not find this simpler, :-).

You can also use the computeDistanceBetween() from the new Geometry Library which i think returns the distance in meters