Here's one for the GIS gurus on this wonderful list...=20
We collect weather data at a number of locations, run the data through comp= uter models to predict a Disease Severity Value (DSV) for various crops bas= ed on temperature and hours that the leaves are wet (dew, rain, etc.), then= interpolate the DSVs to generate a map that farmers can use to ascertain t= he best time to spray their crop. Farmers who subscribe to our service are = given the DSV for their farm, as it is extracted from the interpolated map.= =20
We have long pondered, but not had the time to experiment, as to whether in= terpolating DSV's is actually better than interpolating the weather data, T= HEN finding the DSV.
In other words, which way should generate the more reliable results? In the= first instance, all the modelling is done with known values, so on first g= lance it would seem to provide truest values. On the other hand, interpolat= ing the weather parameters, then running the model at the farmer's location= , might be just as good - and offers some advantages as we attempt to autom= ate the process. We just don't know.
Has anybody looked into this? Know of any papers, etc. on the topic? Or eve= n have some strong intuitions? I'd love to hear your feedback.
Thanks, Rick
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