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• W2992402022 abstract "Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties, and the environment. Investigators have for long attempted to estimate landslide hazard to determine where, when, and how destructive landslides are expected to be in an area. This information is useful to design landslide mitigation strategies, and to reduce landslide risk and societal and economic losses. In the geomorphology literature, most attempts at predicting the occurrence of populations of landslides rely on the observation that landslides are the result of multiple interacting, conditioning and triggering factors. Here, we propose a novel Bayesian modelling framework for the prediction of space-time landslide occurrences of the slide type caused by weather triggers. We consider log-Gaussian cox processes, assuming that individual landslides stem from a point process described by an unknown intensity function. We tested our prediction framework in the Collazzone area, Umbria, Central Italy, for which a detailed multi-temporal landslide inventory spanning 1941-2014 is available together with lithological and bedding data. We tested five models of increasing complexity. Our most complex model includes fixed effects and latent spatio-temporal effects, thus largely fulfilling the common definition of landslide hazard in the literature. We quantified the spatio-temporal predictive skill of our model and found that it performed better than simpler alternatives. We then developed a novel classification strategy and prepared an intensity-susceptibility landslide map, providing more information than traditional susceptibility zonations for land planning and management. We expect our novel approach to lead to better projections of future landslides, and to improve our collective understanding of the evolution of landscapes dominated by mass-wasting processes under geophysical and weather triggers." @default.
• W2992402022 created "2019-12-13" @default.
• W2992402022 creator A5016532429 @default.
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• W2992402022 creator A5033916904 @default.
• W2992402022 creator A5059740534 @default.
• W2992402022 creator A5078885052 @default.
• W2992402022 date "2019-12-03" @default.
• W2992402022 modified "2023-09-23" @default.
• W2992402022 title "Space-Time Landslide Predictive Modelling" @default.
• W2992402022 cites W1430917188 @default.
• W2992402022 cites W1513048075 @default.
• W2992402022 cites W1533241898 @default.
• W2992402022 cites W1594117265 @default.
• W2992402022 cites W169240841 @default.
• W2992402022 cites W1747046542 @default.
• W2992402022 cites W1856540155 @default.
• W2992402022 cites W1965906124 @default.
• W2992402022 cites W1967402925 @default.
• W2992402022 cites W1973948212 @default.
• W2992402022 cites W1979408254 @default.
• W2992402022 cites W1979486410 @default.
• W2992402022 cites W1981646498 @default.
• W2992402022 cites W1981890344 @default.
• W2992402022 cites W1981917018 @default.
• W2992402022 cites W1985245433 @default.
• W2992402022 cites W1988650824 @default.
• W2992402022 cites W1988988493 @default.
• W2992402022 cites W1989990869 @default.
• W2992402022 cites W1991384931 @default.
• W2992402022 cites W1992986405 @default.
• W2992402022 cites W1995463521 @default.
• W2992402022 cites W1996385777 @default.
• W2992402022 cites W1998743274 @default.
• W2992402022 cites W2001293281 @default.
• W2992402022 cites W2002318928 @default.
• W2992402022 cites W2004773494 @default.
• W2992402022 cites W2015400359 @default.
• W2992402022 cites W2016016500 @default.
• W2992402022 cites W2016167483 @default.
• W2992402022 cites W2016948710 @default.
• W2992402022 cites W2017363733 @default.
• W2992402022 cites W2019447227 @default.
• W2992402022 cites W2020810376 @default.
• W2992402022 cites W2021765639 @default.
• W2992402022 cites W2022724931 @default.
• W2992402022 cites W2024380068 @default.
• W2992402022 cites W2030537026 @default.
• W2992402022 cites W2030664888 @default.
• W2992402022 cites W203477891 @default.
• W2992402022 cites W2036379054 @default.
• W2992402022 cites W2036881582 @default.
• W2992402022 cites W20408119 @default.
• W2992402022 cites W2041722960 @default.
• W2992402022 cites W2042951326 @default.
• W2992402022 cites W2044579603 @default.
• W2992402022 cites W2044622173 @default.
• W2992402022 cites W2045076638 @default.
• W2992402022 cites W2051367231 @default.
• W2992402022 cites W2052446119 @default.
• W2992402022 cites W2053982496 @default.
• W2992402022 cites W2054088683 @default.
• W2992402022 cites W2055732921 @default.
• W2992402022 cites W2058082754 @default.
• W2992402022 cites W2060905767 @default.
• W2992402022 cites W2062773906 @default.
• W2992402022 cites W2063987149 @default.
• W2992402022 cites W2069930921 @default.
• W2992402022 cites W2080859850 @default.
• W2992402022 cites W2082507487 @default.
• W2992402022 cites W2084003232 @default.
• W2992402022 cites W2084437243 @default.
• W2992402022 cites W2085441484 @default.
• W2992402022 cites W2086774992 @default.
• W2992402022 cites W2089314377 @default.
• W2992402022 cites W2090097342 @default.
• W2992402022 cites W2091080894 @default.
• W2992402022 cites W2093550074 @default.
• W2992402022 cites W2095057310 @default.
• W2992402022 cites W2096717450 @default.
• W2992402022 cites W2097698267 @default.
• W2992402022 cites W2100560952 @default.
• W2992402022 cites W2103526195 @default.
• W2992402022 cites W2103540160 @default.
• W2992402022 cites W2105714409 @default.
• W2992402022 cites W2108644750 @default.
• W2992402022 cites W2109470235 @default.
• W2992402022 cites W2110502155 @default.
• W2992402022 cites W2113746882 @default.
• W2992402022 cites W2114688767 @default.
• W2992402022 cites W2118166339 @default.
• W2992402022 cites W2126427530 @default.
• W2992402022 cites W2134702142 @default.
• W2992402022 cites W2137611024 @default.
• W2992402022 cites W2139596835 @default.
• W2992402022 cites W2141282148 @default.
• W2992402022 cites W2144898279 @default.
• W2992402022 cites W2147357873 @default.

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