Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/11138
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dc.date.accessioned2018-03-12T13:37:30Zen
dc.date.available2018-03-12T13:37:30Zen
dc.date.issued2017en
dc.identifier.urihttp://hdl.handle.net/2122/11138en
dc.description.abstractThis 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.isoEnglishen
dc.relation.ispartof4th WFL 2017 Advancing Culture of Living with Landslidesen
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectPrediction mappingen
dc.subjectLandslideen
dc.subjectDatabaseen
dc.subjectGeographical Information Systemen
dc.titleComparing Patterns of Spatial Relationships for Susceptibility Prediction of Landslide Occurrencesen
dc.typeConference paperen
dc.description.statusPublisheden
dc.subject.INGVAdvanced in Landslide Scienceen
dc.identifier.doi10.1007/978-3-319-53498-5_129en
dc.description.ConferenceLocationLjubljana, Sloveniaen
dc.relation.referencesAPAT (2004) Field Trip Guide Book, P05. Volume n° 3, 32nd International Geological Congress: Italian Alpine Landslides- Guerrieri L., Rodia I., Serva L. – Published by APAT, Rome. CARG (1992) CARG Project. The new Italian 1:50,000 geological map. Tech rep. National Geological Survey, Rome, Italy. www.isprambiente.gov.it/site/it-IT/Progetti/Progetto_CARG_-_Cartografia_geologica_e_geotematica/ www.cartografia.regione.lombardia.it/ Search CARG Chung C F, (2006) Using likelihood ratio functions for modelling the conditional probability of occurrence of future landslides for risk assessment. Computers & Geosciences. 32(8): 1052–1065. Chung C F, Fabbri A G, (1993) Representation of geoscience data for information integration. Jour of Non-renewable Resources. 2(2): 122-139. Chung, C F, Fabbri A G, (1998) Three Bayesian prediction models for landslide hazard. Buccianti A (ed). Proceedings of International Association for Mathematical Geology, Annual Meeting (IAMG’98), October 3-7, 1998, Ischia, Italy. pp. 204-211. Chung C F, Fabbri A G, (1999) Probabilistic prediction models for landslide hazard mapping. Photogrammetric Engineering & Remote Sensing. 65(12): 1389-1399. Chung C F, Fabbri A G, (2001) Prediction models for landslide hazard using fuzzy set approach. M. Marchetti M, V. Rivas V (eds). Geomorphology and Environmental Impact Assessment. Balkema, Rotterdam, pp. 31-47. Chung, C F, Fabbri, A G, (2003) Validation of spatial prediction models for landslide hazard mapping. Natural Hazards, 30(3):. 451-472. Chung C F, Fabbri A G, (2008) Predicting future landslides for risk analysis - spatial models and cross-validation of their results. Geomorphology. 94(3-4): 438-452. DUSAF (2003) DUSAF Project. Destinazione d’uso dei suoli agrioli e forestali. Technical Report Lombardy Region, Milan, Italy. www.ersaf.lombardia.it/servizi/Menu/dinamica.aspx?idArea=16914&idCat=17254&ID=17254 www.territorio.regione.lombardia.it/cs/Satellite?c=Page&childpagename=DG_Territorio%2FDGLayout&cid=1213441282211&p=1213441282211&pagename=DG_TERRWrapper www.cartografia.regione.lombardia.it/geoportale Search: DUSAF Fabbri A G, Chung C-J, (2016) Blind-testing experiments for interpreting spatial-prediction patterns of landslide hazard. International Journal of Safety and Security Engineering. 6(2): 133–208. IFFI (2006) Inventario dei Fenomeni Franosi in Italia (Inventory of Lndslide Phenomena in Italy). www.isprambiente.gov.it/site/it-IT/Progetti/ www.sinanet.apat.it/progettoiffi Search LE frane Mountainrisk,(2007) www.unicaen.fr/mountainrisks/spip/spip.php?page=index Sangalli L, (2008) Predisposizione dei versanti ai movimenti di massa attraverso curve di tasso di predizione. Studio statistico dell’area di Tirano Sud (Predisposition of slopes to mass movements through prediction-rate curves. Statistical study of the Tirano South area). MS thesis, DISAT, Univ. of Milano-Bicocca, Milan, Italy, 91 p. SpatialModels (2003) www.spatialmodels.comen
dc.description.obiettivoSpecifico2TR. Ricostruzione e modellazione della struttura crostaleen
dc.publisherSpringer Internationalen
dc.contributor.authorFabbri, Andrea G.en
dc.contributor.authorCavallin, Angeloen
dc.contributor.authorPatera, Antonioen
dc.contributor.authorSangalli, Lauraen
dc.contributor.authorChung, Chang-Joen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italiaen
dc.contributor.editorMikos, Marcinen
dc.contributor.editorTiwari, Yen
dc.contributor.editorSassa, K.en
item.openairetypeConference paper-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia-
crisitem.author.orcid0000-0001-7641-4689-
crisitem.author.orcid0000-0002-4951-9239-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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