Edgar Soldin wrote:

>Adrian,
>
>true, true .. well told story rhat ... thanks alot.
>
>just to make a point:
>if bursa wolf parameters are missing, the parameters for an accurate 
>ellipsoid shift are missing, so results will be (very?) inaccurate?
>  
>

yes... usually in the dimension of 100m + xxx

stefan

>kind regards ede
>--
>  
>
>>Hey,
>>
>>In the "for dummies" collection, "geodesy for dummies", from adrian, 
>>will surely become a best seller :-)
>>
>>Michael
>>
>>Adrian Custer a écrit :
>>
>>  
>>    
>>
>>>On Mon, 2007-09-17 at 10:46 -0700, Jody Garnett wrote:
>>> 
>>>
>>>    
>>>      
>>>
>>>>Edgar Soldin wrote:
>>>>   
>>>>
>>>>      
>>>>        
>>>>
>>>>>just one question .. what is this bursa wolf parameter option?
>>>>>     
>>>>>
>>>>>        
>>>>>          
>>>>>
>>>...
>>>
>>> 
>>>
>>>    
>>>      
>>>
>>>>My impression is that this is scary math I never quite understood. The 
>>>>javadocs describe it all detail (and have links to papers etc..).
>>>>   
>>>>
>>>>      
>>>>        
>>>>
>>>Well, Bursa was a 9 year old bicyclist from the Alps and...no, no, no, i
>>>lie. Actually it's not particularly scary math and quite easy to
>>>understand. All you really need to remember is that no one has ever been
>>>to the center of the earth. 
>>>
>>>So everyone started surveying (mostly so the repressive central
>>>governments could exploit taxes from people and have lots of jolly wars
>>>where people could slog through the mud and kill each other so they'd be
>>>blood and suffering for all). Each group started from some random place
>>>on the surface of the earth. Right away, it becomes obvious to everyone
>>>that euclidean rules don't work so well. Some didn't care so much since
>>>taxes are basically arbitrary anyway and getting serious about it means
>>>you'd have to walk through fields and woods and get lots of mud on your
>>>shoes. Others kept at it and resorted to spherical geometry. Once you
>>>start doing that precisely and at continental scales you realize that
>>>doesn't really work either so you decide to try the next hardest thing,
>>>an ellipsoid of rotation. Now how do you know which one to choose? Well
>>>you pick one that minimizes your squared errors. All good and nice but
>>>(1) you are surveying the ground which is anything but an ellipsoid
>>>since it has all those ditches you keep falling into and that keep
>>>getting your clothes covered in mud and (2) you are not perfect
>>>especially with all that mud on your paper. So you have a bunch of
>>>errors. Well everyone that does this comes up with lots of different
>>>ellipsoids that work really nice for their data and everyone is sure
>>>they clearly have found the 'one true ellipsoid' and they decide to use
>>>that for all their work. Then everyone guesses where they actually are
>>>on each of their particular ellipsoids which involves lots of going
>>>outside at night and looking up from the mud at the stars. But then it's
>>>not like the edges of each survey was nice and level on these ellipsoids
>>>either --- think of the eastern USA. You can start nice and clean and
>>>warm and dry at an inn in Boston on the edge of the sea drinking clam
>>>chowder and having a good time but a few months later it will be bitter,
>>>bitter cold in that tiny town of Denver because you are somewhere like a
>>>mile high up in the air and you're wet and covered in mud from slogging
>>>through the plains in a snowstorm. So you've got a pretty good idea that
>>>your data is on a major slant but, well, you'll do your best to make up
>>>for it but it really doesn't help the effort any, especially what with
>>>all that mud that's still itching in your hair. So your errors may be a
>>>wee bit big but hey it's all right: it's good enough to wage lots of
>>>good wars with lots of mud and blood and to keep collecting lots of
>>>taxes so no one cares too much. 
>>>
>>>Fast forward to more recent times where some people want to talk to lots
>>>of different governments and work with lots of different data. They take
>>>everyone's guess and try to line them up. Well it turns out, when you
>>>try to line everything up, that the center points of all the different
>>>ellipses aren't really the same points and even the orientation of the
>>>three axes are all a bit off because of how everyone guessed where their
>>>were on their ellipsoids. So now, to go from one data set to another so
>>>they line up "the best," you need estimates of how much to rotate each
>>>of the axes and how to shift the center point around; all this beyond
>>>even the obvious stuff of changing between the different definition of
>>>all those "one true" ellipsoids.
>>>
>>>When you do this mathematically, you need a bunch of parameters: these
>>>now have the names of the wolf and the bursa. Generally, you can only
>>>come up with good parameters if you have lots of data to compare and
>>>some good software to do the comparing. That's what the EPSG did for
>>>everyone. The guys in the pickup trucks that went out looking for oil
>>>kept falling into ditches along the way and getting mud on their faces
>>>but when they got back to the office they had a good sense of what lined
>>>up with what and could say: "yep, that hill there is the same as this
>>>squiggle here and there's this big ditch right here that cost us our
>>>third flat tire and..." So they collected as much data as they could and
>>>compared it and came up with a database of parameters by which you go
>>>    
>>>      
>>>
>>>from one data set to another. So that's it. That's why we use their
>>  
>>    
>>
>>>data; we don't have to fall in any ditches and can avoid getting mud on
>>>our clothes. They give us their parameters and we can mostly line up
>>>data from one survey against data from another. But you do need some
>>>good parameters because the earlier folk had a harder time of the mud
>>>and the data they created don't just line up the way we would like them
>>>to.
>>>
>>>Actually doing the math is a bit harder but the concept is pretty
>>>straight forward: geographic data all ultimately gets tied into points
>>>on the earth surface and that requires estimating where the points
>>>really are and how they line up on the estimated ellipsoid being used.
>>>That in turn means none of ellipsoids quite line up and we need
>>>parameters to move between them.
>>>
>>>--adrian
>>>
>>>
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>>>
>>>    
>>>      
>>>
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>
>
>  
>


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