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?
Thank you in advance for any feedback.
Best regards,
Gregoire
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