NutriNet
Global relationships between crop diversity and nutritional stability
Welcome to the NutriNet visualizations on Crop Diversity and Nutritional Stability. To get started, see the buttons or navigation bar above.
Nutritional stability is defined as a food system's capability to provide sufficient nutrients despite disturbance. Our research has shown that despite a possible increase in crop imports, nutrintional stability has either stagnated or decreased in some countries. With a growing focus on nutritional diversity, it may be difficult to distinguish crop diversity from nutritional diversity. To that end, this web-app was developed to visualize food system diversity and stability. In our first paper, bipartite graphs were algorithmically deconstructed to test the robustness of a country's imports and production. In this continuation of research, we can see numerous relationships between crops, nutrients, and socioeconomic variables. This gives us the ability to find new variable relationships, or look at what nutrients may be in danger of extinction. Visualizing graphs also allows us to easily see the robustness or size of a country's crop network with helpful diagnostic information.
This is an open-source application lisenced under GNU General Public License v2.0. Data was gathered from publicly available sources at the following locations:
Nutritional stability is defined as a food system's capability to provide sufficient nutrients despite disturbance. Our research has shown that despite a possible increase in crop imports, nutrintional stability has either stagnated or decreased in some countries. With a growing focus on nutritional diversity, it may be difficult to distinguish crop diversity from nutritional diversity. To that end, this web-app was developed to visualize food system diversity and stability. In our first paper, bipartite graphs were algorithmically deconstructed to test the robustness of a country's imports and production. In this continuation of research, we can see numerous relationships between crops, nutrients, and socioeconomic variables. This gives us the ability to find new variable relationships, or look at what nutrients may be in danger of extinction. Visualizing graphs also allows us to easily see the robustness or size of a country's crop network with helpful diagnostic information.
This is an open-source application lisenced under GNU General Public License v2.0. Data was gathered from publicly available sources at the following locations:
- Crop Production Quantity Data From the FAO Stat Databse [Link]
- GENuS Nutrient Composition Data from the Harvard Dataverse [Link]
- Intake Data from the USDA Branded Food Products Database [Link]