EGU26-19042, updated on 23 Mar 2026
https://doi.org/10.5194/egusphere-egu26-19042
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 05 May, 08:30–10:15 (CEST), Display time Tuesday, 05 May, 08:30–12:30
 
Hall X3, X3.68
Linking spatial data with Impact chains through the PARATUS GeoNode
Marcel Hürlimann1, Pritam Ghosh2, Liz Jessica Olaya Calderon3, Silvia Cocuccioni3, Nieves Lantada1, Amparo Nuñez1, Núria Pantaleoni1, and Cees van Westen2
Marcel Hürlimann et al.
  • 1Department of Civil and Environmental Engineering, UPC BarcelonaTECH, Barcelona, Spain
  • 2Faculty Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands
  • 3Center for Climate Change and Transformation, Eurac, Bolzano/Bozen, Italy

To support data collection and sharing within the EU Horizon Europe PARATUS project, a dedicated GeoNode platform was developed (available at https://www.paratus-geonode.eu).  The PARATUS GeoNode is an open-source, web-based geospatial content management platform designed to support the efficient storage, management, visualization and dissemination of spatial data required for integrated and comprehensive risk assessments. Built on the updated version of the GeoNode 4.4 framework, the platform combines established geospatial technologies with an easy-to-use interface to facilitate the collaborative management of geospatial data by both technical and non-specialist users. It provides a complete solution for geospatial data workflows by supporting many spatial and non-spatial resources, such as vector and raster datasets, maps, documents, dashboards, and interactive GeoStories.

In addition to automatic management of projections and web-based visualizations, the platform offers robust data storage capabilities of widely used geospatial formats like Shapefiles, GeoPackage, GeoJSON, KML /KMZ, and GeoTIFF. By ensuring that datasets are thoroughly documented and searchable, integrated metadata management improves data discoverability and long-term usability. Users can effectively find resources based on keywords, spatial extent, ownership, categories, and temporal attributes with the help of sophisticated search and filtering tools. Through graphical tools and support for styled Layer Descriptor (SLD) files, the GeoNode platform enables on-platform data editing and styling, enabling users to produce meaningful cartographic representations without the need for programming knowledge.

The platform is excellent at disseminating spatial information through interactive maps and dashboards with analytical widgets, and narrative driven GeoStories. These items can be embedded or shared as a link to be added to other online platforms. In this context, the Geonode enhances risk analysis by providing a spatial representation of the factors within the PARATUS Kumu Impact Chains, which are conceptual models that illustrate the interrelations among different risk factors. Through the GeoNode, Impact Chains are connected to a range of spatial datasets representing key risk components, including exposure maps (e.g. building footprints, population distribution), hazard maps (such as flood extent), and vulnerability indicators (e.g. building, land use, or socio-demographic characteristics). These spatial layers translate conceptual risk factors into spatial evidence, supporting the practical interpretation of causal relationships within the Impact Chains. The Impact Chains can be consulted through the Wiki section in the Stakeholder Hub (available at https://www.cmine.eu/topics/35391/page/impact-chains-04a0c668-7d14-4f93-a8bd-97dd9347038a).

How to cite: Hürlimann, M., Ghosh, P., Calderon, L. J. O., Cocuccioni, S., Lantada, N., Nuñez, A., Pantaleoni, N., and van Westen, C.: Linking spatial data with Impact chains through the PARATUS GeoNode, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19042, https://doi.org/10.5194/egusphere-egu26-19042, 2026.