Visualisations
GRU’s visualisation tools aim at supporting the interpretation of complex scientific data and socio-economic interrelationships to ultimately foster science-based policy design.
FABIO Viewer
The FABIO Viewer is an open-source visualization tool powered by the hybrid FABIO v1.0 model, offering an intuitive way to explore biomass flows from production regions to consuming regions and vice versa.
FABIO v1.0 provides comprehensive multi-regional physical supply-use and input-output tables, covering agriculture and forestry flows as well as embodied land use across global supply chains, spanning 191 countries and 130 products from 1986 to 2013. This powerful tool enables users to delve into the intricate connections between production, trade, and consumption, revealing the environmental and resource implications of global biomass use.
The figures generated by the FABIO Viewer are licensed under CC BY 4.0.
WU Vienna (2019): Visualizations based upon the hybrid FABIO model, v1.0. Vienna University of Economics and Business. Online available at: fineprint.global/fabio-viewer (licensed under CC BY 4.0)
Global Coal and Metal Mining Viewer
The Global Coal and Metal Mining Viewer allows users to view location, information, and production data for individual mines. The Viewer features an interactive global map, where users can browse across and zoom into mining areas worldwide. The Viewer displays the location of mines included in the Database on Global Coal and Metal Mining, where data on more than 1100 mines globally was gathered from mining company reports.
WU Vienna (2023): Global coal and metal mining viewer. Geospatial visualisation of global mining data. https://resource-use.global/visualisations/global-coal-and-metal-mining-viewer/
- Jasansky, S., Lieber, M., Giljum, S., & Maus, V. (2023). An open database on global coal and metal mine production. Scientific data, 10(1), Article 52. https://doi.org/10.1038/s41597-023-01965-y
- Giljum, S., Maus, V., Kuschnig, N., Luckeneder, S., Tost, M., Sonter, L. J., & Bebbington, A. J. (2022). A pantropical assessment of deforestation caused by industrial mining. Proceedings of the National Academy of Sciences of the United States of America, 119(38), Article e2118273119. https://doi.org/10.1073/pnas.2118273119
- Wegner Maus, V., Giljum, S., da Silva, D., Gutschlhofer, J., da Rosa, R., Luckeneder, S., Gass, S., Lieber, M., & McCallum, I. (2022). An update on global mining land use. Scientific data, 9(433), 1 - 11. https://doi.org/10.1038/s41597-022-01547-4
- Wegner Maus, V., Giljum, S., Gutschlhofer, J., da Silva, D. M., Probst, M., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2020). A global-scale data set of mining areas. Scientific data, 7(1). https://doi.org/10.1038/s41597-020-00624-w
Mining Geovisualisations
The Mining Geovisualisations display geospatial layers of information on global mining activities based on satellite images developed in the ERC FINEPRINT project. The Viewer features an interactive global map, where users can browse across and zoom into mining areas worldwide. The geospatial data layers include the two versions of the Global Mining Land Use Data informing about land areas occupied by mine sites around the globe. One layer also displays the location of mines included in the Database on Global Coal and Metal Mining, where data on more than 1100 mines globally was gathered from mining company reports.
WU Vienna (2023): FINEPRINT Geovisualisations. Geospatial visualisation of global mining data. https://resource-use.global/visualisations/geovisualisations
- Jasansky, S., Lieber, M., Giljum, S., & Maus, V. (2023). An open database on global coal and metal mine production. Scientific data, 10(1), Article 52. https://doi.org/10.1038/s41597-023-01965-y
- Giljum, S., Maus, V., Kuschnig, N., Luckeneder, S., Tost, M., Sonter, L. J., & Bebbington, A. J. (2022). A pantropical assessment of deforestation caused by industrial mining. Proceedings of the National Academy of Sciences of the United States of America, 119(38), Article e2118273119. https://doi.org/10.1073/pnas.2118273119
- Wegner Maus, V., Giljum, S., da Silva, D., Gutschlhofer, J., da Rosa, R., Luckeneder, S., Gass, S., Lieber, M., & McCallum, I. (2022). An update on global mining land use. Scientific data, 9(433), 1 - 11. https://doi.org/10.1038/s41597-022-01547-4
- Wegner Maus, V., Giljum, S., Gutschlhofer, J., da Silva, D. M., Probst, M., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2020). A global-scale data set of mining areas. Scientific data, 7(1). https://doi.org/10.1038/s41597-020-00624-w
SCP-HAT
UNEP (2024). SCP-HAT database v3.0. UN Life Cycle Initiative, UN One Planet Network, UN International Resource Panel. Paris. https://scp-hat.org