Dear all,

I would like to project a graphics file of some colour coded geo data  
that is already given in lat-lon with corners
specified in lat-lon onto a map. The projection of the result should  
be flexible. In the end the resulting
plot shows a section of the earth, either from a satallite  
perspective (ortho) or some convenient projection.

All examples I found seem to be doing different things or special  
cases that I have trouble to generalize or modify.
These examples transform the data from some (often unpecified) system  
to a coordinate system that
suites the chosen projection.
But the fact that the geo data file is given in lat-lon with corners  
must simplify everything and should make the chosen
projection arbitrary. The resolution of the data file must also be  
arbitrary and should not appear in the code.
I do not see why the final projection should require beforehand a  
change of the geo-data coordinate
system *by hand* i.e. typing in the transform formulas and extracting  
pixel sizes.
I would have thought that to avoid this is the whole point of using  
map toolkits.

I imagine a function that takes the parameters
- datafile, alternatively an array with a colour value or RGB for  
each lon-lat coordinate
- its lon-lat corners,
- a basemap map-object i want the data projected onto
- and the projection specifier (possibly with desired corners if  
different from the maps corners)
   that determines how i want to see the the resulting piece of the  
globe.


Could someone explain to me (a python newbie)  what the sequence of  
steps/functions would have to be or which
predefined methods are doing this.

Regards
Daniel



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