20211019 16175800 1.0 TRUE Mapa de vulnerabilidad faunística para las vías administradas por el INVIAS con una escala de salida 1:20,000, validación de la capacidad predictiva utilizando la métrica Área bajo la curva (AUC), Y La interacción de las variables con el fenómeno, haciendo uso del análisis predeterminado Jackknife. INVIAS Mapa de vulnerabilidad faunística para las vías administradas por el INVIAS MapaRiesgo 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