• Global Food Trade Relationship Scenario

    See the drastic rise in Brazilian soybean exports to China and other top importing countries over time.

    Global Food Trade Relationship Scenario

  • Filter System

    Closely examine the top 10% of countries with respect to per-capita maize consumption.

    Filter System
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  • Global Food – Developing Country Scenario

    Teach students about income elasticity by examining meat consumption in developing countries.

    Global Food – Developing Country Scenario

  • US Energy Model

    Observe the projected difference in consumption of fuel ethanol across the United States.

    US Energy Model

  • A new tool for discovery!

    Analysis currently is cumbersome, narrow, and biased toward phenomena already understood because the data are so dense. Resulting analyses are time consuming and relatively shallow often resulting in common and superficial findings. The tools that are widespread, such as large commodity database files, are crude and limit who has access, and as a result the depth of the analysis suffers. Large specific tools, such as FAPRI (University of Missouri) are not accessible to a broad population of users, are episodic in their output, and most importantly do not allow users to navigate, explore and learn the dynamic interaction of the micro data world of commodities, countries, demographics, and year.

    A new tool for discovery!

  • A tool for decision makers

    Global Feed in 3-Dtm brings the world and their food needs to the doorstep of agricultural decision makers in the U.S. The software covers agricultural production, consumption, and income elasticities across 186 countries. Many of which are either declining, growing, or potential new markets for U.S. farmers. All trade relationships, imports-exports of feed grains and oilseeds are modeled across time, space (origin and destination).

    A tool for decision makers
  • Caterpillar Visualization
  • Dynamic database

  • Global Food in 3D – Sub-Saharan Africa

    Discover future trends in Sub-Saharan Africa cassava production.

    Global Food in 3D – Sub-Saharan Africa

  • ADM Institute Model

    Compare expected post-harvest loss of rice in India in 2030 to the cumulative sum of rice production in 75 countries around the world.

    ADM Institute Model

Learn with Global Food in 3D!

Global Food in 3-D tm was developed at the National Soybean Research Laboratory at the University of Illinois with research funding from the Illinois Soybean Association and the United States Department of Agriculture.

Powerful Data Visualization

Employing econometric and visualization tools Global 3-D provides a “video game” like workspace to explore the dynamics of 186 countries across 69 years of history, and forecasts to the year 2030. With Global Food 3D, you can visually explore and assess factors affecting world markets.

A new Tool for Discovery

The software helps analysts, policymakers, managers, teachers, and researchers better understand the dynamics of the population and income growth, and the production, consumption, and income elasticities of key commodities. You can find and forecast trends in production or consumption and capture the visuals and data for presentations and reports. You also can download data into a spreadsheet for further analysis.

The Uncommon Knowledge

Identify growth trends and net changes in production, consumption, population and income over time. Explore relationships between production and consumption within/across geographies
Understand effects of population and income on production and consumption within and across geographies. Learn from Income elasticities for different commodities by country.