Risposta a: < Gregoire Dubois> > Dear list, > > I would appreciate feedback on an issue that is closely related to > SIC2004 > > Let us consider a variable (air pollutants, radioactivity) that is > measured at regular time intervals by an automatic monitoring network > that is structured like a regular grid. In the case one needs maps to be > generated on a regular basis, I was wondering what arguments would be > against the use of Triangulated Irregular Networks (or any simple linear > interpolation algorithm)? As a matter of fact, if TIN cannot be used to > assess uncertainties, it can be easily automated and it is an exact > interpolator (no risk to smooth out critical values). I thus understand > TIN is the most reasonable approach in the case one has a network that > is dense enough. Obviously, the "dense enough" obviously needs to be > defined properly as I expect it to be the main parameter that will > define the need for more advanced interpolation techniques. But with the > exception of density, are there any non obvious issues I am missing > here? >
I'm really interested in such an issue. The only difference is that we have several automatic monitoring stations of air pollutants (but also of E.M. fields - I work in the "Environmental Agency" in Tuscany), which are not structured like a regular grid, and are not dense enough! And we have always managed the variables measured at regular time intervals as strictly relative to the area around the point where the station is located. Best regards, Maurizio Trevisani > Thank you in advance for any feedback. > > Best regards, > > Gregoire > >
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