Sturmwarnung.onlineGeovisualisation combining multiple data sources

Background

Storm-warning information is published by different cantons and authorities on separate websites. The sources differ in structure, presentation and technical availability. Users therefore need to check several pages to understand the current warning situation, and no single geographically coherent overview was available.

Defined solution

A central web application automatically collects the available warnings, converts the different source formats into a consistent data model and stores the prepared results. The warning status is then assigned geographically and displayed on a shared interactive map.

The solution covers automated collection, validation and transformation; structured storage; consolidation of multiple sources; public delivery; and a maintainable architecture that can accommodate further regions and source formats.

Outcome & value

Users can assess the available warning situation from one map instead of visiting multiple websites. Differences between sources are handled in the processing layer, leaving the interface focused and understandable. Automated updates reduce manual work and ensure that the public view is based on the latest successfully processed information.

The project also demonstrates how heterogeneous public data can be turned into a dependable, browser-based information product through a clearly defined pipeline.

Technical implementation

Source-specific collectors retrieve public warning data and pass it through a shared preparation pipeline. The resulting geographic dataset is served to a lightweight interactive web map. Scheduled automation keeps collection and deployment repeatable, while documented source handling makes extensions easier to maintain.