If you made any changes in Pure these will be visible here soon.

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 Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2019

  • 359 Citations
  • 12 h-Index
  • 23 Article
  • 1 Chapter

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 journalArticleAcademicpeer-review

alpine environment
Landslides
landslide
Spatial distribution
Logistics
8 Downloads (Pure)

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 journalArticleAcademicpeer-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 journalArticleAcademicpeer-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 proceedingChapterAcademicpeer-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 journalArticleAcademicpeer-review

environmental modeling
analytical framework
Drought
Landslides
modeling