Visualization is a key factor in the chain from data to value we envision in MAGIC:
- Interactive visualization for complex data means visual analytics
- Domain knowledge is needed to extract information from data
- Statistics help with the process to distillate this information into further knowledge
- Knowledge in the hands of stakeholders and decision makers eventually produces value.
The NIS approach to visualization is based on three layers:
- Supplying simple infographics to capture and communicate nexus related issues;
- Prototyping interactive visualization for analyses, also through Jupyter notebooks (Pyhton/R scripts made simple);
- Operationalizing custom dashboards for use in the dialogue spaces.
MAGIC’s Statistical Learning & Information Management
Simple infographic: How are we spending our time?
Of all the time available per capita in the year 2012, on average, only about 8-9% was allocated to paid work in the Netherlands.
The majority of this working time was allocated to the Service and Government Sector; only a small part of the working time was dedicated to the Energy Sector.
The low labor intensity of the Dutch energy sector is only possible because of the reliance on huge imports of fossil fuels.
(data are from Figure 14 of D4.2)
Circular Economy: Why is so little recycled?
Flow of materials and percentage of recycling.
Over one-half of all the materials that go into the economic process cannot be recycled. This includes biomass such as food and animal feed that is converted into gases and residues, and fossil fuels that become greenhouse gas emissions. About 42% of materials are used in construction and manufacturing, which means that these materials remain in use for a long time either as permanent infrastructure or long-term products that are not recycled every year.
Adapted from: Haas, W., Krausmann, F., Wiedenhofer, D. and Heinz, M. (2015), How Circular is the Global Economy?: An Assessment of Material Flows, Waste Production, and Recycling in the European Union and the World in 2005. Journal of Industrial Ecology, 19: 765–777.
Data source: Italian National Institute of Statistics – Istat, reference year 2005; See also: The Nexus Times, issue I
Custom visualizations: virtual water
Data from the NIS repository about virtual water related to wheat imports during 2013.
How much water is imported by EU28 because of wheat trade? Custom visualizations are rapidly prototyped in a graphical generative environment (NodeBox 3 https://www.nodebox.net/node/)
Web apps for exploring data interactively
(Data for this visualization has been developed by the project IANEX, funded by the EU with Grant no 623593)
Could EU28 go for shale gas? To chek the potential for Shale Gas Development in Europe there is a wide set of factors and constraints to be considered: data from existing extraction field should be explored to learn the lesson.