Re: [Geographiclib-users] Comparing distances between geographic coordinates
Geographic library
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karney
From: Edward L. <e4...@ya...> - 2014-05-18 16:33:27
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Hi Charles, Yes, I want the metric to correlate to real distances. Some of the hardware I'm looking at can be very underpowered (think 400 MHz clock speeds) which may (or may not) matter. I figured I'd ask anyway if there some proxy distance measure I could use that was faster to compute. Thanks for your suggestion regardless. -Edward > On May 17, 2014, at 5:04 PM, Charles Karney <cha...@sr...> wrote: > > Lots of distance metric will satisfy the triangle inequality > > * geodesic distance on ellipsoid > * Euclidean distance on ellipsoid > * surface distance on sphere > * Euclidean distance on sphere > * a Manhattan distance |dlat| + |dlon| > > etc. However, I suspect you want a stronger condition, namely > > d(A,B) < d(A,C) > > implies that B really is closer to A than C. For this I recommend just > using the true geodesic distance (e.g., from GeographicLib). You can do > a million such distance calculations in a couple of seconds. > > On 05/17/2014 03:45 PM, Edward Lam wrote: >> Hi, >> >> I trying to write an app that performs route planning through a graph of >> points given by their GPS latitude/longitude coordinates. So to do this, >> I need to compare the relative distances between these points such that >> the triangle inequality holds. What is the best/fastest way to do so? >> >> There's a great deal of description on the web on how to compute >> distances between two GPS coordinates ranging from approximate ones >> based on the haversine formula via an idealized sphere to more accurate >> ellipsoidal ones like the one in GeographicLib. >> >> For this application, I don't need real distances between the points, >> just some metric so that the triangle inequality holds. I'm tempted to >> use the haversine formula since it is cheaper than the alternatives but >> it has distortions depending on the chosen radius that may affect the >> triangle inequality? Or am I over thinking this? Is there some >> projection I can use that is both cheap and accurate? >> >> Thanks, >> -Edward > |