Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/11096
DC Field | Value | Language |
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dc.date.accessioned | 2018-03-08T08:58:31Z | en |
dc.date.available | 2018-03-08T08:58:31Z | en |
dc.date.issued | 2017 | en |
dc.identifier.isbn | 978-3-319-53497-8 | en |
dc.identifier.uri | http://hdl.handle.net/2122/11096 | en |
dc.description.abstract | This contribution proposes a cautious way of constructing the susceptibility classes obtained from favourability modeling of landslide occurrences. It is based on the ranks of the numerical values obtained by the modelling. Such ranks can be displayed in the form of histograms, cumulative curves, and prediction patterns resembling maps. A number of models have been proposed and in this contribution the following will be compared in terms of their respective rankings for equal area classes: fuzzy set function, empirical likelihood ratio, linear and logistic regression, and Bayesian prediction function. The analyses performed and contrasted exemplify a generalized methodology for comparing predictions that should allow evaluating prediction patterns from any model. Unfortunately, many applications in the scientific literature use methods of characterizing prediction quality that make comparison hard or impossible. A database from a study area in the Mountain Community of Tirano in Valtellina, Lombardy Region, northern Italy, is used to illustrate how the results of the different models and strategies of analysis show the relevance of the properties of the database over those of the models. | en |
dc.language.iso | English | en |
dc.relation.ispartof | Advancing Culture of Living with Landslides | en |
dc.subject | Landslide susceptibility, spatial support, spatial relationships, prediction models, prediction patterns, target pattern, ranked classes, cross-validation, database signature | en |
dc.title | Comparing Patterns of Spatial Relationships for Susceptibility Prediction of Landslide Occurrences | en |
dc.type | book chapter | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 1135-1144 | en |
dc.subject.INGV | 04.04. Geology | en |
dc.description.obiettivoSpecifico | 2TR. Ricostruzione e modellazione della struttura crostale | en |
dc.publisher | Springer | en |
dc.contributor.author | Fabbri, Andrea G. | en |
dc.contributor.author | Patera, Antonio | en |
dc.contributor.author | Chung, Chang-Jo | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia | en |
item.openairetype | book chapter | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia | - |
crisitem.author.orcid | 0000-0001-7641-4689 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Book chapters |
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Fabbri_Patera_Chung_TALUDES_def_edited.pdf | Full article | 863.06 kB | Adobe PDF |
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