The Nexus Information System (NIS) provides the tools necessary for handling and visualizing the complex information space of the resource nexus. It illustrates how to establish a connection among the different metrics used to storage data about water, food, agriculture, energy or climate, among others, and how to maintain coherence in integrated analyses carried out at different spatial scales (regional, national, EU, global). Its ultimate purpose is to guarantee coherence over non-equivalent quantitative representations of the feasbility, viability, security (openness) and desirability of social-ecological systems.
In MAGIC, we envision the following chain from data to value (see figure below):
- Domain knowledge is needed to extract information from data
- Statistics help with the process to distillate this information into further knowledge
- Interactive visualization for complex data means visual analytics
- Knowledge in the hands of stakeholders and decision makers eventually produces value.
The NIS aims to serve as a guide to statistical institutes for the design of nexus-related databases (see: Open Research Data), to assist researchers and professionals in the analysis of the resource nexus (see: NIS Toolbox), and to help policy makers and other social actors in making informed decisions about integrated resource management strategies (see: Visualization Methods).
MAGIC’s Statistical Learning & Information Management