From static hazard maps to an interactive multi-hazard geospatial analysis platform enabling collaborative digital workflows

The increasing availability of probabilistic hazard datasets in solid Earth Sciences requires digital environments that go beyond static map visualization, enabling in-depth spatial analysis, data comparison across multiple hazard contexts, and data download in standard formats.
In this work, we present a web-based geospatial platform properly designed to support interactive exploration, analysis, and dissemination of hazard data (maps and curves), while remaining extensible to any type of GIS layer. The platform performance is tested using Mount Etna as a case study and integrates volcanic and seismic hazard assessments derived from established probabilistic models for different hazardous events and their metrics, including lava flow invasion, ground load from volcanic ash fallout, and seismic intensity (Cappello et al, 2025; Scollo et al, 2025; D’amico et al, 2025). Hazard datasets originally provided in NetCDF format are here processed and stored in a spatial database, allowing consistent management of both raster and vector representations of exceedance probabilities across different spatial resolutions. Aside from the standard spatial queries, the system enables advanced analytical interactions, such as point-based interrogation of hazard layers with on-the-fly visualization of probability percentiles across different hazardous events and specifically different thresholds in their metric. Users can also extract and download hazard matrices and map products, supporting quantitative comparison and further offline analysis. By combining geospatial data management with interactive analytical tools, the platform allows researchers from different disciplines to explore complex spatial information in a transparent and reproducible manner. The adoption of standardized web services and modular workflows enhances interoperability and facilitates integration with external infrastructures. Designed in accordance with FAIR data principles, the platform represents a flexible digital geoscience tool that can be extended to additional hazard domains and GIS workspaces. This work proves how interactive geospatial analysis workflows can enhance the scientific use of probabilistic hazard information and foster collaboration among hazard modelers, Earth scientists, and stakeholders, in line with the objectives of the EPOS European research infrastructure.