Below we provide (1) answers to frequently asked questions and (2) definitions about using GloMIP. If you still cannot find the answer you are looking for, feel free to Contact Us!
In the past, breeding pipeline investment efforts were allocated based on the area cultivated. While this is a useful proxy for the "market size" targeted by breeding pipelines, we recognize that the contribution of crop breeding to the alleviation of impact challenges in the Global South is more complex due to the multi-dimensionality of sustainable development in itself. There are 17 SDGs, which are being measured by 247 indicators. GloMIP includes indicators across five Impact Areas, which are derived from the SDGs. In order to capture the development challenges in each country and relate them to each of the 20 CGIAR and 25 non-CGIAR crops, a minimal level of granularity is required. GloMIP, however, caters to all users' needs. Users who prefer to bring the complexity down to a single indicator can use the Priority Index, while users who want to disentangle and understand the complexity can analyze the results in the single and multi-indicator portals.
Cross-cutting indicators might have a different directionality than the indicators under the five Impact Areas and can, therefore, not be compared with the other indicators. Higher values for the indicators under the five Impact Areas always represent a greater sustainable development challenge.
By default, data is shown at the national level. If you prefer a crop view, please select the national-crop or market segment scaling levels in the scaling level filter.
No: if a country is selected twice in the country filter, the duplication will be filtered out automatically. Similarly for the crop filter.
Indicators for which data is measured at the national level (and not crop level) undergo a downscaling step where the indicator values are allocated across all crops being produced and consumed within the county depending on calorie shares (for nutritional indicators), share of value generated (for poverty and equity indicators) and harvested area share (for environmental and climate indicators). For an indicator I, the downscaled values for a specific crop are calculated as Iā[%]Country-Crop, where [%]Country-Crop represents the share of this crop in either the total amount of calories consumed, agricultural value produced or area harvested of the given country. For prevalence and depth indicators, [%]Country-Crop is first normalised. Therefore, downscaled values cannot be interpreted as representing an exact value for the selected crops. Rather, downscaled values permit the ranking of groups considering the importance of the selected crops in terms of consumption and production.
Recognizing that there is no normative approach to prioritization and that investment decisions depend on investor preferences, we enable decision-makers to tailor their decisions to their preferences in terms of (1) the Impact Areas they want to prioritize; (2) the timeframe of the indicators they want to rely on; and (3) the type of indicators they want to use. The default values are set in the middle such that all Impact Areas, timeframes and types of indicators are weighted equally. If you are a decision maker, we recommend adapting the weights to cater your or your Institute's preferences. If you are not a decision-maker, we recommend you to identify and use the investment preferences of the decision-maker or investor to whom you report.
Dynamic graphs are visual representations of data (applied to Single, Dual, and Multi-indicator maps and charts). Turning it off reduces latency from the server. However, it will not display the detailed data properties when hovering to the maps or charts.
Focus countries are countries targeted for receiving agricultural development aid. Focus countries are those countries (1) that are habited, (2) that are no small island states (< 750,000 inhabitants) and (3) with > 5% of the population poor at $6.85/day (2017 PPP).
Breadth: Absolute indicator quantifying the magnitude of under-development, such as the population in poverty.
CO2eq: Carbon dioxide equivalent or CO2 equivalent, abbreviated as CO2-eq quantifies the emissions from various greenhouse gases considering their global-warming potential, by converting amounts of other gases to the equivalent amount of carbon dioxide with the same global warming potential.
DALYs: Disability-adjusted life years are the sum of the years of life lost due to premature mortality and the quality of life lost due to a disease or health condition.
Depth: Indicator quantifying the intensity of under-development, often limited to the population affected, such as the average cost of a calorie-sufficient diet.
Downscaling: Allocating data from country-level to country-crop level. For an indicator I, the downscaled values for a specific crop are calculated as Iā[%]Country-Crop, where [%]Country-Crop represents the share of this crop in either the total amount of calories consumed, agricultural value produced or area harvested of the given country. For prevalence and depth indicators, [%]Country-Crop is first normalised. Therefore, downscaled values cannot be interpreted as representing an exact value for the selected crops. Rather, downscaled values permit ranking of groups considering the importance of the selected crops in terms of consumption and production.
Normalising: Adjusting values measured on different scales to a common scale by dividing by the maximum value
PCA: Principal component analysis is a statistical method for transforming several variables into one or more variables still containing most of the information.
Prevalence: Relative indicator quantifying the intensity of under-development, obtained by dividing a breadth indicator by the relevant target population or area, such as the proportion of the population undernourished.
Priority index: A compound measure that aggregates multiple indicators. Aggregating is done by averaging across all indicators chosen, controlling for overlap in information between similar indicators using principal component analysis (PCA). The priority index for 2 indicators is calculated as āw[i]āI[i], where i = [1, 2], I[i] is the i-th normalised indicator and w[i] is the weight of the i-th indicator based on principal component analysis.
Treemap: Visualisation displaying each element through a tile proportionate to that element's size.
Weighted mean: Mean calculated by considering higher or lower importance to selected values.