Landslide susceptibility of Tajikistan: covariates and landslides probability of occurrence
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2022
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| _version_ | 1867171878182846464 |
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| author | Titti, Giacomo Lombardo, Luigi Westen, Cees van |
| author_facet | Titti, Giacomo Lombardo, Luigi Westen, Cees van |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This repository reports the data input and output used to evaluate the regional landslide susceptibility in West Tajikistan. The analysis has been conducted subdividing the study area into Unit Condition Units (UCU) intersecting catchments and lithology. The average and standard deviation of 9 geo-environmental variables per UCU have been collected in the dataset: slope degree, relative relief, plan curvature, profile curvature, Peak Ground Acceleration, annual precipitation, land use, lithology and area. The target variable is instead a binary label assigned to the UCU depending of the presence or absence of landslides. The model to estimate the susceptibility corresponds to a Bayesian version of a binomial Generalized Additive Model implemented in R-INLA. As a result the posterior mean of the susceptibility was estimated together with the uncertainty around it. The experiment involves testing the variation induced by an increasing incomplete landslide inventory. The covariates per UCU and the landslide susceptibility of Tajikistan are reported in the spatial dataset published as vector format. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_940239 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Landslide susceptibility of Tajikistan: covariates and landslides probability of occurrence Titti, Giacomo Lombardo, Luigi Westen, Cees van Binary Object; Binary Object (File Size); Binary Object (Media Type); Generalized Additive Model; INLA; Landslide susceptibility; Tajikistan; UCU This repository reports the data input and output used to evaluate the regional landslide susceptibility in West Tajikistan. The analysis has been conducted subdividing the study area into Unit Condition Units (UCU) intersecting catchments and lithology. The average and standard deviation of 9 geo-environmental variables per UCU have been collected in the dataset: slope degree, relative relief, plan curvature, profile curvature, Peak Ground Acceleration, annual precipitation, land use, lithology and area. The target variable is instead a binary label assigned to the UCU depending of the presence or absence of landslides. The model to estimate the susceptibility corresponds to a Bayesian version of a binomial Generalized Additive Model implemented in R-INLA. As a result the posterior mean of the susceptibility was estimated together with the uncertainty around it. The experiment involves testing the variation induced by an increasing incomplete landslide inventory. The covariates per UCU and the landslide susceptibility of Tajikistan are reported in the spatial dataset published as vector format. |
| title | Landslide susceptibility of Tajikistan: covariates and landslides probability of occurrence |
| topic | Binary Object; Binary Object (File Size); Binary Object (Media Type); Generalized Additive Model; INLA; Landslide susceptibility; Tajikistan; UCU |
| url | https://doi.org/10.1594/PANGAEA.940239 |