Marlène Villanova-Oliver
Biographic Data
| ID | 2783441 |
|---|---|
| NAME | Marlène Villanova-Oliver |
| GIVEN NAMES | Marlène |
| FAMILY NAME | Villanova-Oliver |
| SIGNATURE | VILLANOVA-OLIVER M |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| ORCID | 0000-0002-7242-6102 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Off-Sett
The world is undergoing rapid transformations driven by climate change, socio-economic pressures, and geopolitical tensions. Monitoring these dynamics is essential to understand and anticipate territorial change. Although initiatives such as the European Union’s Open Data program promote spatiotemporal datasets (e.g., population, land use), analyzing and interpreting these data over time remains complex and requires technical expertise, limiting …
Mapping the narratives of natural disasters and their domino effects. The case study of floods impacting railways
Studying past at-risk phenomena is useful to prepare against future risks. Thanks to maps, it is possible to locate historical events in their spatial context. Animation and interactivity support the analysis of the dynamics of events. This paper deals with a visual method to represent narratives of past natural risk events in a map. It is based on the case study of past floods, which impacted the railway network. Map visualizations were develope…
Methods for mapping volcanic events overlaid across time
This article describes a number of issues encountered when developing maps of past natural phenomena in the field of volcanology. In order to enable experts to exploit geographical data related to this topic, maps showing the temporal chronology of such events are required. Developing useful maps are made more complex by the coexistence of numerous phenomena in the geographic same space over time, which entails the management of spatial overlays,…
Mapping the narratives of natural disasters and their domino effects. The case study of floods impacting railways
Studying past at-risk phenomena is useful to prepare against future risks. Thanks to maps, it is possible to locate historical events in their spatial context. Animation and interactivity support the analysis of the dynamics of events. This paper deals with a visual method to represent narratives of past natural risk events in a map. It is based on the case study of past floods, which impacted the railway network. Map visualizations were develope…
Methods for mapping volcanic events overlaid across time
This article describes a number of issues encountered when developing maps of past natural phenomena in the field of volcanology. In order to enable experts to exploit geographical data related to this topic, maps showing the temporal chronology of such events are required. Developing useful maps are made more complex by the coexistence of numerous phenomena in the geographic same space over time, which entails the management of spatial overlays,…
Mapping the narratives of natural disasters and their domino effects. The case study of floods impacting railways
Studying past at-risk phenomena is useful to prepare against future risks. Thanks to maps, it is possible to locate historical events in their spatial context. Animation and interactivity support the analysis of the dynamics of events. This paper deals with a visual method to represent narratives of past natural risk events in a map. It is based on the case study of past floods, which impacted the railway network. Map visualizations were develope…
Off-Sett
The world is undergoing rapid transformations driven by climate change, socio-economic pressures, and geopolitical tensions. Monitoring these dynamics is essential to understand and anticipate territorial change. Although initiatives such as the European Union’s Open Data program promote spatiotemporal datasets (e.g., population, land use), analyzing and interpreting these data over time remains complex and requires technical expertise, limiting …
Geographic Information Systems Studies (3 works) · Data Visualization and Analytics (2 works) · Natural hazard (2 works) · Species Distribution and Climate Change (2 works) · Artificial Intelligence (1 work) · Cartography (1 work) · Computer Science (1 work) · Data Management and Algorithms (1 work) · Data mining (1 work) · Geography (1 work)