FAQs

These questions come directly from our users. If you have a question, please let us know by writing an email to ifpri-climatechange@cgiar.org.

What are Food Security CASE Maps?

Food Security Climate, Agricultural, and Socio-Economic (CASE) Maps is an interactive mapping tool that enables users to view potential changes in agricultural supply, demand, and food security due to the effects of climate change over time and across the globe. These interactive maps, which were built on the data visualization platform StatPlanet, are based on data generated for the IFPRI research monograph Food Security, Farming and Climate Change to 2050. Specifically, CASE Maps display the exogenous model drivers and future scenarios  of IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) model. Users can generate scatter plots, bar charts, time series graphs, histograms, and other basic statistical functions. They can also download data and send feedback via ifpri-climatechange@cgiar.org directly to IFPRI’s climate change team.

What is the source of the CASE Maps data?

The data underlying CASE Maps comes from two sources: IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) model and the research monograph Food Security, Farming and Climate Change to 2050. IMPACT provides the exogenous population and income data and the crop and livestock yield and area growth rates, which project the baseline future agricultural supply, demand and food security to 2050.  The specific future scenarios in CASE Maps are based on the data generated for the research monograph.

What is a scenario?

The Millennium Ecosystem Assessment’s Ecosystems and Human Well-being:  Scenarios, Volume 2 provides a useful definition of scenarios:

Scenarios are plausible, challenging, and relevant stories about how the future might unfold, which can be told in both words and numbers. Scenarios are not forecasts, projections, predictions, or recommendations. They are about envisioning future pathways and accounting for critical uncertainties.

Scenario development typically involves both qualitative and quantitative assessments. Qualitative perspectives make it possible to evaluate a wide range of potentially plausible outcomes for which there are no easily quantifiable expectations. Quantitative scenarios provide informative detail on magnitudes for some of the outcomes. Quantitative scenarios thus provide a consistency check on the plausibility of qualitative scenario outcomes. They also allow for exploration of complex interactions that cannot easily be traced in a qualitative scenario.  For additional discussion of the differences among these scenarios, refer to Appendix 2 (page 83) of the research monograph on which CASE Maps is based: Food Security, Farming and Climate Change to 2050.

Why don’t I see malnutrition data for some countries?

Child malnutrition is defined as the proportion of children under 5 falling below minus 2 standard deviations from the median weight-for-age standard set by the U.S National Center for Health Statistics and the World Health Organization. Child malnutrition is estimated from several variables: the average per capita calorie consumption, female access to secondary education, the quality of maternal and child care, and health and sanitation based on the cross-country regression relationship of Smith and Haddad.  The IMPACT model provides data on average per capita calorie availability for all countries. For the purposes of estimating the percentage of children malnourished, countries with more than 90 percent of the population with access to safe water and 90 percent of the female population enrolled in secondary education have been omitted from the malnutrition calculation as these countries fall outside the regression relationship as defined by Smith and Haddad. For this report, we also assume that life expectancy, maternal education, and access to safe water improve over time but do not change across scenarios.

What is the time horizon of the CASE Map indicators?

Each indicator has a 40 year time horizon, from 2010 to 2050.

Which indicators and sub-indicators are available on CaseMaps?

IFPRI StatPlanet's indicators include: Population, GDP, GDP per capita, Children malnourished (0 to 5 years), Kilocalories per capita per day, Feed demand by commodity (which is further broken down by rice, wheat, maize), Food demand by commodity (rice, wheat, maize), Production (rice, wheat, maize), Trade (rice, wheat, maize) , and Yield (rice, wheat, maize). For more information about how to use these indicators, click here.

How are yields calculated in CASE Maps?

Crop yields are calculated as metric tons per hectare of agricultural land.

I have a comment, criticism, or suggestion for improvement. How do I contact you?

We encourage feedback from users as we are constantly improving and updating our climate change data. Click on the envelope icon in the options menu that appears in the bottom, left-hand side of the screen. Please don't erase the automatically-generated subject line as it provides us with information about which page you are commenting on.

What is Statplanet?

StatPlanet is a powerful interactive data visualization and mapping tool that is used by international organizations such as UNESCO, SACMEQ, the Global Environmental Facility, and the International Food Policy Research Institute (IFPRI) to communicate and more easily interpret data. One of StatPlanet’s greatest strengths is its user-friendly interface that enables non-technical users to explore statistics. The software also automates the complex process of converting raw data into interactive maps and visualizations, enabling non-technical users to create interactive maps and visualizations with relative ease. (The software can be downloaded here and used free of charge.) For more information about StatPlanet, click here.