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blasbenito edited figures/Fig_7/caption.tex
over 8 years ago
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\textbf{Fig 8: Classification of target regions based on the local regression coefficient of the given predictor}. The minimum temperature of coldest month (bio6),
slope, topographical slope (topo\_slope), and precipitation of the warmest quarter (bio18) were the most important factors in this model. Example of interpretation: the high habitat suitability values of Peloponnese (ID=10) can be explained by a positive coefficient of bio6 (habitat suitability increasing with higher winter temperatures), a
slope coefficient
less for the topographical slope lower than 0.029
(slope (topographical slope values around its optimum), and
a regression coefficient for bio18 around or below
0 (optimum 0, indicating an optimum precipitation of the warmest
quarter). quarter.