This project has received funding from the Research Fund for Coal and Steel (RFCS) under GRANT AGREEMENT No.101057228
The geodatabase developed within the framework of the project is available online at the following GitHub repository: WINTER_EU_Database.
The database contains both spatial and non-spatial information, which includes:
- Spatial data: Regional boundaries, land cover types, mining areas’ boundaries, etc.
- Non-spatial data: Texts, photos, diagrams that are part of the narrative storytelling maps.
The non-spatial data collected for this project will be used to develop narrative stories for the following regions:
- Western Macedonia -> View or Download PDF
- Konin -> View or Download PDF
- Ruhr area -> View or Download PDF
- Media Analysis -> View or Download PDF
These stories are hosted on the ArcGIS Online platform and provide valuable insights into the regions. All non-spatial information used in the storytelling maps has been visualized and converted into PDF format. The PDFs are accessible online in the GitHub repository.
The table below lists the sources used for the web platform, categorized by type (spatial or non-spatial).
| Type | Data Layer/Description | Source | Resolution/Scale |
|---|---|---|---|
| Spatial | Land Cover/Land Use (Vector) | Corine Land Cover (CLC) | 50 to 10 meters |
| Spatial | Regional & Open-pit Mines Boundaries (Vector) | Subtask 2.3.1 | N/A |
| Spatial | Land Cover Maps (Vector) | Subtask 2.3.1 | 20 meters |
| Spatial | Digital Suitability Maps (Vector) | Subtask 2.3.2 | N/A |
| Non-Spatial | Mine Rehabilitation & Reclamation Showcases (Texts/Images) | Task 2.1 | N/A |
| Non-Spatial | Legal Framework & Legislations (Texts) | Task 2.2 | N/A |
The geospatial dataset consists of 6 geodatabases with a total of 50 feature classes, created for subtasks 2.3.1 and 2.3.2. The structure of the geodatabases is outlined below:
- geodatabases were created for the following regions:
- Western Macedonia
- Konin
- Ruhr area
- Geographical boundaries
- 2 geodatabases were created for the different regions.
Below is a visual representation of the geodatabase structure:
