Hi everybody,
I am very much interested in hearing what is your experience with merging
different scale data to obtain a uniform surface at the finest scale possible,
and if not at the most optimum scale. Now I know that "optimum" is in the eye
of the beholder, but maybe we can agree on a definition of optimum scale.
Anyway, suppose I have an area (any area) for which I have several sets of
data, raster and vector, at different scales and different spatial extents.
Some overlap, some not, but the whole area is rather covered by data. Also
suppose that all datasets are in the same datum / projection, so we are not
concerned about it. How do I get about to merge all of that???
One idea might be to transform everything in xyz coordinates and interpolate
the area and get different surfaces for different resolutions and compare the
RMSE and choose the one with the smallest RMSE. Is that an option??? What about
if I know the accuracy of each dataset …. How error will propagate then? What
if the area is so big that the computer I work on will not be able to do the
interpolation, so I will be forced to work on tiles, how do I elliminate the
border differences?
If you have any opinion or any good reference to work with I will really
appreciate.
Thanks,
Monica
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