Food Insecurity Mapping - East Africa (January - March 2013)

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About this dataset

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: * eastafrica201304_ML1 Most likely food security outcome for January-March 2013 * eastafrica201304_ML2 Most likely food security outcome for April-June 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: * 66 = water * 88 = parks, forests, reserves * 99 = missing data (usually urban centers)

Documentation

FEWS NET uses a scenario development method to evaluate the most likely scenario for acute food insecurity outcome up to 6 months ahead. This methods involves making best assumption on key drivers of food security, including agro-climatic performance, markets and trade, etc. This is a best estimate of likely food security outcome and should not be taken as a firm prediction. FEWS NET re-examines the assumptions each month and updates the outlooks when appropriate. The IPC_Legend.lyr file is provided for reference. It contains the official color schemes for IPC (Integrated Phase Classification). As part of the piloting of IPC 2.0, FEWS NET adopted key elements in 2011, including the scale, mapping protocols, and Household-based Acute Food Insecurity Reference Table. However, FEWS NET is considered “IPC-compatible” rather than “IPC-compliant” because it does not use all elements of IPC. The difference in approach relates to the IPC requirement that stakeholders in a given country conduct intensive technical reviews, peer reviews, and consensus exercises as a step in the process. In all countries, the success of FEWS NET's work depends on close collaboration with partners and technical experts. At times, however, it is necessary to conduct analysis with a speed and flexibility that is not possible when many actors share decision-making. For more information, please refer to [FEWS NET](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases).

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