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Your search keyword '"Agnesi, Valerio"' showing total 35 results
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35 results on '"Agnesi, Valerio"'

4. Soil erosion in Mediterranean environment: The conceptual approach of the EROMED Project to assess regional impacts of global change in Italy

Author

RODOLFI G, AUCELLI PPC, BUCCOLINI M, CATANI F, DEL MONTE M, FREDI P, GENTILI B, LUPIA PALMIERI E, MRKER M, MATERAZZI M, PELACANI S, PIACENTINI T, RAPETTI F, ROSSKOPF CM, SPAGNOLO M., AGNESI, Valerio, CONOSCENTI, Christian, ROTIGLIANO, Edoardo, RODOLFI G, AGNESI V, AUCELLI PPC, BUCCOLINI M, CATANI F, CONOSCENTI C, DEL MONTE M, FREDI P, GENTILI B, LUPIA PALMIERI E, MRKER M, MATERAZZI M, PELACANI S, PIACENTINI T, RAPETTI F, ROSSKOPF CM, ROTIGLIANO E, and SPAGNOLO M

Published
2006

16. La Geomorfologia

Author

AGNESI, Valerio, DI MAGGIO, Cipriano, MADONIA, Giuliana, ABATE B., AGNESI V., AGNESI V, DI MAGGIO C, and MADONIA G

Published
2004

17. Soil erosion by water in Mediterranean environment: direct and indirect appraisal from test areas and catchments (EROMED. A project of National Interest financed by the Italian Ministry of University and Research: organization, goals and first results

Author

RODOLFI G, AUCELLI PC, BUCCOLINI M, CAPRA GC, CICCACCI S, DEL MONTE M, FREDI P, GENTILI B, LOMBARDI L, LUPIA PALMIERI E, MARKER M, MATERAZZI M, RAPETTI F, ROSSKOPF CM, SPAGNOLO M, VACCA S., AGNESI, Valerio, CONOSCENTI, Christian, RODOLFI G, AGNESI V, AUCELLI PC, BUCCOLINI M, CAPRA GC, CICCACCI S, CONOSCENTI C, DEL MONTE M, FREDI P, GENTILI B, LOMBARDI L, LUPIA PALMIERI E, MARKER M, MATERAZZI M, RAPETTI F, ROSSKOPF CM, SPAGNOLO M, and VACCA S

Published
2004

19. Stop 3.1: Monte Pellegrino

Author

AGNESI, Valerio, CONOSCENTI, Christian, DI PATTI, Carolina, AGNESI V, CONOSCENTI C, and DI PATTI C

Published
2004

23. Geological Path n.1

Author

ABATE, Benedetto, AGNESI, Valerio, FERRUZZA, Gaetano, MADONIA, Giuliana, ABATE B, AGNESI V, FERRUZZA G, and MADONIA G

Published
2004

25. Landslide hazard analysis in the Iato River basin

Author

AGNESI, Valerio, CONOSCENTI, Christian, DI MAGGIO, Cipriano, LA ROCCA, Laura, ROTIGLIANO, Edoardo, LUCCHESI T, AGNESI V, CONOSCENTI C, DI MAGGIO C, LA ROCCA L, LUCCHESI T, and ROTIGLIANO E

Published
2004

26. The Madonie Park geological guide

Author

ABATE, Benedetto, AGNESI, Valerio, FERRUZZA, Gaetano, MADONIA, Giuliana, ABATE B, AGNESI V, FERRUZZA G, and MADONIA G

Published
2004

29. Stop 3.2: Alcamo Cappuccini

Author

AGNESI, Valerio, DI MAGGIO, Cipriano, DI PATTI, Carolina, AGNESI V, DI MAGGIO C, and DI PATTI C

Published
2004

31. Le ricerche geologiche

Author

AGNESI, Valerio, ABATE B., AGNESI V. A CURA DI, and AGNESI V

Published
2004

33. Inquadramento geografico

Author

AGNESI, Valerio, CONOSCENTI, Christian, ABATE B., AGNESI V. A CURA DI, AGNESI V, and CONOSCENTI C

Published
2004

35. Evaluation of debris flow susceptibility in El Salvador (CA): a comparison between Multivariate Adaptive Regression Splines (MARS) and Binary Logistic Regression (BLR)

Author

Chiara Martinello, Valerio Agnesi, Christian Conoscenti, Edoardo Rotigliano, Rotigliano, Edoardo, Martinello, Chiara, Agnesi, Valerio, and Conoscenti, Christian

Subjects
Multivariate Adaptive Regression Splines (MARS), hurricane Ida, Multivariate adaptive regression splines, 010504 meteorology & atmospheric sciences, Settore GEO/04 - Geografia Fisica E Geomorfologia, Binary Logistic Regression (BLR), 0208 environmental biotechnology, Geography, Planning and Development, lcsh:G1-922, 02 engineering and technology, Mars Exploration Program, Debris flow, Logistic regression, 01 natural sciences, 020801 environmental engineering, debris flows, Statistics, El Salvador, General Earth and Planetary Sciences, landslide susceptibility, Settore GEO/05 - Geologia Applicata, lcsh:Geography (General), Geology, 0105 earth and related environmental sciences
Abstract

In the studies of landslide susceptibility assessment, which have been developed in recent years, statistical methods have increasingly been applied. Among all, the BLR (Binary Logistic Regression) certainly finds a more extensive application while MARS (Multivariate Adaptive Regression Splines), despite the good performance and the innovation of the strategies of analysis, only recently began to be employed as a statistical tool for predicting landslide occurrence. The purpose of this research was to evaluate the predictive performance and identify possible drawbacks of the two statistical techniques mentioned above, focusing in particular on the prediction of debris flows. To this aim, an inventory of debris flows triggered by the passage of the hurricane IDA and the low-pressure system associated with it 96E, on 7 th and 8 th November 2009, in an area of about 26 km 2 close to the Caldera Ilopango, El Salvador (CA), was employed. Two validation strategies have been applied to both statistical techniques, thus obtaining four models – BLR (I), MARS (I), BLR (II) and MARS (II) – to be compared in pairs. Model performance was assessed in terms of AUC (area under the receiver operating characteristic (ROC) curve), Sensitivity, Specificity, Positive Prediction Value and Negative Prediction Value. Moreover, to evaluate the robustness of the modelling procedure, 50 replicates were created for each model and standard deviation was calculated for each of them. The results show that both techniques allow for obtaining good or excellent performances so that it is not possible to define one of the two techniques as absolutely better. However, the validation procedure reveals slightly better performance of the MARS models, with greater sensitivity and greater discrimination among True Negatives (TNs).

Published
2018

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