Map shows the estimated cost of damage by province, to five agricultural themes - corn, rice, livestock, high value cash crops (mango, banana, papaya, vegetables) and agricultural facilities and equipment. The map also includes a bar graph of the total estimated cost per region.
Strategic
Situational
After assessments.
World Food Programme (WFP)
Food and Agriculture Organization (FAO)
Government Departments (Department of Agriculture)
This will inform government and NGO response with a particular focus on where cash based transfers might be needed.
Data collected to produce the map will come largely from government/NGO surveys of affected populations.
This will bring the requirement for additional metadata on the surveys themselves to understand the temporal elements (date of collection, date of publication, frequency), the geographic elements (coverage, sampling frame) and the quality elements (modelling approach, uncertainty, confidence intervals)
Administrative Boundaries
Agricultural survey data - type of farming, livestock populations, arable area, value of agricultural resources lost.
Map shows the number of hectares and numbers of farmers affected in agricultural development centres across the Caprivi Strip against the total population in constituencies
Operational
Situational
After assessment. Can be revised if better or more granular information becomes available.
World Food Programme (WFP)
Food and Agriculture Organization (FAO)
Government Departments (Department of Agriculture)
Civil Society, Community Organisations
Red Cross Societies
Logistics Teams
Useful for food distribution agencies for establishing where staples, crops and livestock may be affected and understand how much food supply has been lost, and agricultural organisations in terms of what will be needed to restock or replant once disaster driver has been removed (e.g. flood).
Access to timely and accurate data is essential for a Food Security response. It is important to get the best available data although it may not always be perfect. Questions should be asked such as:
When was the data collected?
What time period does it cover?
When will it next be updated?
How accurate is the data?
Are the figure actual, estimates or projections?
What level of granularity is the data available at? What area might the data be reflected on
Is the data publicly available, are there any restrictions on publishing?
A large amount of demographic data is publicly available online but consideration should be taken of any sensitivities that may relate to this data for example ethnicity. These sensitivities may lead to a decision to not place a certain dataset on a map.
Robust information management and governance is essential when accessing, storing and visualising Food Security data. The agreed use of the data must be established and recorded from the outset.
Administration boundaries
Population census
Topographic data
Roads
Rivers
Elevation
Areas of land affected
Numbers of Farmers Affected
Preferable if some values on types of crop, number of livestock that have been lost.
Map shows the agricultural areas that have been affected by an emergency classed by severity overlaid onto livelihood zones.
Strategic and operational
Situational
As early as possible in a response.
World Food Programme (WFP)
Food and Agriculture Organization (FAO)
Useful for food distribution agencies for informing them where areas have been damaged that are used for agricultural/livestock production.
Using a simple basemap showing land use overlaid with the extent of areas affected by the disaster. The extent of those affected areas if possible should be ranked by severity. There might be a temporal element about the affected areas as this might change over time (floods etc.).
Areas affected by disaster, if available classed by severity
Land use
Maps shows issues related in the Multi-Cluster Initial Rapid Assessment (MIRA) and pertaining to the Food cluster.
Strategic
Situational
After MIRA assessment.
World Food Programme (WFP)
Food and Agriculture Organization (FAO)
Government Departments (Department of Agriculture)
This will inform government and NGO response where aid is needed.
Data collected to produce the map will come from the Multi-Sector Initial Rapid Assessment (MIRA). It is therefore really important that the MIRA assessment is conducted in such a way that the outcomes can be easily represented spatially.
Administrative boundaries
Populated places/P-Codes
Assessment results