Our EAGLE students Leonie, Sonja and Clara presented methods to model the spatial and temporal distribution of locust in France using statistical modelling approaches within R and the flexSDM package. The elaborated for two hours how the complex data preparation, intervening spatial and non-spatial data and how to run and validate different prediction models such as GAM, GLM, SVM or MaxEnt.
They introduced very nicely the relevance for locust prediction and the current challenges plus they explained the modelling approach in detail and outlined every single code snippet for the prediction analysis.
They introduced very nicely the relevance for locust prediction and the current challenges plus they explained the modelling approach in detail and outlined every single code snippet for the prediction analysis.
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