The Eliasson criterion has been extended herein and implemented within a multiple regressive model. In practice, the same variables considered by Eliasson et al. (2010) are used as regressors and related to the percentage of presence of a crop in a certain area, which therefore represents the dependent variable. The regression coefficients are then used to predict the percentage of crop presence for the same area under different conditions for the regressors (e.g., number of heat waves) because of climate change or perturbative events.

Multiple regressions for land suitability have been proposed in recent studies, also for evaluating the impact of climate change (e.g., Moriondo et al., 2010). According to the user’s needs, there is the possibility of selecting regressors belonging to different categories (e.g., climate, soil physics, etc.).

Created with the Personal Edition of HelpNDoc: Create iPhone web-based documentation