2026-06-27T13:54:27Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/193972024-11-25T14:22:33Zcom_20.500.14352_14col_20.500.14352_15

Rodríguez Martínez, Adán Vitoriano Villanueva, Begoña Leguey, Ignacio Damage, Marc 2023-06-18T00:11:45Z 2023-06-18T00:11:45Z 2018 1613-0073 https://hdl.handle.net/20.500.14352/19397 https://ceur-ws.org/Vol-2146/short59.pdf In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is presented involving stochastic mixed integer nonlinear optimization, Bayesian networks and directional statistic inference. From a first simple approximation to the large model, will be shown what motivates follow models and its complexity incorporated. Also, a case study with real data about Corsica region is presented. eng open access Locating fuel breaks to minimise the risk of impact of wild fire journal article