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Logistic regression applied to natural hazards: rare event logistic regression with replications

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Figure

Fig. 1. Time series (1973–2010) of landslide occurrence and land cover in the Llavircay catchment (southern Ecuadorian Andes).
Fig. 2. Plot of the exceedance probability against theoretical rankedrandomly sampled values with a confidence interval of 95.
Fig. 3. According to the Monte Carlo principle, a sufficient numberof randomly selected samples are needed to approximate correctlythe true population (Llavircay catchment in this case)
Table 2. Exceedance probabilities of the landslide inventories of 1973, 1983, 1995 and 2010 for the 11 potential explanatory variables
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