Space-time landslide predictive modelling

Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties, and the environment in many areas. Investigators have for long attempted to estimate landslide hazard in an effort to determine where, when (or how frequently), and how large (or how destructive) landslides are...

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Bibliographic Details
Published in:	Earth-science reviews Vol. 209; p. 103318
Main Authors:	Lombardo, Luigi, Opitz, Thomas, Ardizzone, Francesca, Guzzetti, Fausto, Huser, Raphaël
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2020 Elsevier
Subjects:	Bayesian theory cartography digital elevation models Environmental Sciences geomorphology geophysics Integrated Nested Laplace Approximation (INLA) inventories Italy landscapes Landslide hazard Landslide intensity Landslide susceptibility landslides Log-Gaussian Cox Process (LGCP) morphometry prediction risk Slope unit Space-time modelling spatial data Spatial point pattern standard deviation weather Italy Log-Gaussian Cox Process (LGCP) Spatial point pattern Space-time modelling Slope unit Integrated Nested Laplace Approximation (INLA) Landslide hazard Landslide intensity Landslide susceptibility
ISSN:	0012-8252, 1872-6828
Online Access:	Get full text
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