Zobrazeno 1 - 10
of 72
pro vyhledávání: '"ALESSANDRA MENAFOGLIO"'
Autor:
Matteo Fontana, Mara Sabina Bernardi, Francesca Cigna, Deodato Tapete, Alessandra Menafoglio, Simone Vantini
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1191 (2024)
One of the most promising applications of satellite data is providing users in charge of land and emergency management with information and data to support decision making for geohazard mapping, monitoring and early warning. In this work, we consider
Externí odkaz:
https://doaj.org/article/e33fab2dd043471abde6a6cec451cf2b
Publikováno v:
Applied Computing and Geosciences, Vol 2, Iss , Pp - (2019)
Applied sciences have witnessed an explosion of georeferenced data. Object oriented spatial statistics (O2S2) is a recent system of ideas that provides a solid framework where the new challenges posed by the GeoData revolution can be faced, by ground
Externí odkaz:
https://doaj.org/article/5aaa32516b534beb9da5c5295f6ceaf4
Autor:
Christian Capezza, Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b63f17cab5336588ac83b27c9d6a60
https://doi.org/10.1002/9781118445112.stat08371
https://doi.org/10.1002/9781118445112.stat08371
Autor:
Oleksandr Didkovskyi, Vladislav Ivanov, Alessio Radice, Monica Papini, Laura Longoni, Alessandra Menafoglio
Publikováno v:
Mathematical Geosciences. 54:467-506
The problem of providing data-driven models for sediment transport in a pre-Alpine stream in Italy is addressed. This study is based on a large set of measurements collected from real pebbles, traced along the stream through radio-frequency identific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::254cec34cd27314c7cb7e01cbe56683e
https://doi.org/10.1007/s11004-022-09995-9
https://doi.org/10.1007/s11004-022-09995-9
Publikováno v:
Statistical Papers.
A new orthogonal decomposition for bivariate probability densities embedded in Bayes Hilbert spaces is derived. It allows one to represent a density into independent and interactive parts, the former being built as the product of revised definitions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a4720980e62a53eb151ae834660a22c
https://doi.org/10.1007/s00362-022-01359-z
https://doi.org/10.1007/s00362-022-01359-z
Publikováno v:
Computers & Geosciences. 177:105362
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48910912b6e5e161740d91d8d8cf8569
https://doi.org/10.1016/j.cageo.2023.105362
https://doi.org/10.1016/j.cageo.2023.105362
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 184:1549-1577
The assessment of the vulnerability of a community endangered by seismic hazard is of paramount importance for planning a precision policy aimed at the prevention and reduction of its seismic risk. We aim at measuring the vulnerability of the Italian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39d005622f4818ce7d3cd67fbee2147c
https://doi.org/10.1111/rssa.12739
https://doi.org/10.1111/rssa.12739
Autor:
Antonio Lepore, Simone Vantini, Alessandra Menafoglio, Christian Capezza, Biagio Palumbo, Fabio Centofanti
Publikováno v:
Quality and Reliability Engineering International. 38:1519-1537
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43ed22a22015fdab843e756a9da892c8
https://doi.org/10.1002/qre.2949
https://doi.org/10.1002/qre.2949
Autor:
Renáta Talská, Karel Hron, Alessandra Menafoglio, Peter Filzmoser, Juan José Egozcue, Javier Palarea-Albaladejo
Publikováno v:
Mathematical Geosciences. 54:71-93
It often occurs in practice that it is sensible to give different weights to the variables involved in a multivariate data analysis—and the same holds for compositional data as multivariate observations carrying relative information. It can be conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c74ba8f3dfe22c00ac12ae0a1a4a3c1f
https://doi.org/10.1007/s11004-021-09952-y
https://doi.org/10.1007/s11004-021-09952-y
Autor:
Simone Vantini, Alessandra Menafoglio, Pasquale Claudio Africa, Mara S. Bernardi, Luca Formaggia, Carlo de Falco
Publikováno v:
Mathematical Geosciences. 53:1781-1812
Recent advances in satellite technologies, statistical and mathematical models, and computational resources have paved the way for operational use of satellite data in monitoring and forecasting natural hazards. We present a review of the use of sate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4bf0fab500646000d28756e94dfcbc
https://doi.org/10.1007/s11004-021-09948-8
https://doi.org/10.1007/s11004-021-09948-8