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Perhaps we should re-consider the status quo? A new article showing how we can improve the efficiency and transparency of land use model calibration.
Over the last decade the methods applied to modelling Land Use and Land Cover (LULC) change have become increasingly complex, especially with the mainstreaming of machine learning techniques to capture relationships from data. On the one hand this heightened complexity can allow for more realistic outputs but at the same time it can make the process of confirming the accuracy of these models more time-consuming and less transparent.
by Adrienne Grêt-Regamey