Research Output per year
Fingerprint Dive into the research topics where Luigi Lombardo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 21 Similar Profiles
landslide
Earth & Environmental Sciences
Landslides
Engineering & Materials Science
debris flow
Earth & Environmental Sciences
catchment
Earth & Environmental Sciences
modeling
Earth & Environmental Sciences
logistics
Earth & Environmental Sciences
Debris
Engineering & Materials Science
disaster
Earth & Environmental Sciences
Network
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Research Output 2014 2019
Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment
Amato, G., Eisank, C., Castro-camilo, D. & Lombardo, L., 1 Aug 2019, In : Engineering geology. 260, 105237.Research output: Contribution to journal › Article › Academic › peer-review
alpine environment
Landslides
landslide
Spatial distribution
Logistics
Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides
Lombardo, L., Bakka, H., Tanyas, H., van Westen, C. J., Mai, P. M. & Huser, R., 24 Jul 2019, In : Journal of Geophysical Research: Earth Surface. 124, p. 1-23 23 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
landslide
earthquake
modeling
effect
spatial resolution
9
Citations
(Scopus)
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
Arabameri, A., Rezaei, K., Cerda, A., Lombardo, L. & Rodrigo-Comino, J., 25 Mar 2019, In : Science of the total environment. 658, p. 160-177 18 p.Research output: Contribution to journal › Article › Academic › peer-review
data mining
Geographic information systems
Data mining
Groundwater
groundwater
Numerical Recipes for Landslide Spatial Prediction Using R-INLA: A Step-by-Step Tutorial
Lombardo, L., Huser, R. & Opitz, T., 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences. Pourghasemi, H. R. & Gokceoglu, C. (eds.). Elsevier, p. 55-83 29 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
landslide
prediction
modeling
debris flow
geographical distribution
5
Citations
(Scopus)
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, O., Kornejady, A., Samadi, M., Deo, R. C., Conoscenti, C., Lombardo, L., Dayal, K., Taghizadeh-Mehrjardi, R., Pourghasemi, H. R., Kumar, S. & Bui, D. T., 10 May 2019, In : Science of the total environment. 664, p. 296-311 16 p.Research output: Contribution to journal › Article › Academic › peer-review
environmental modeling
analytical framework
Drought
Landslides
modeling