[Day 2] Center Presentation: GLCI

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Presented by Christopher Legg at the
CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya

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[Day 2] Center Presentation: GLCI

  1. 1. GIS IN SUPPORT OF GREAT LAKES CASSAVA INITIATIVE CHRISTOPHER LEGG GIS CONSULTANT
  2. 2. East African “Great Lakes” region Total and per-capita cassava production in Sub-Saharan Africa (FAO data)‫‏‬
  3. 3. Cassava is an essential food crop in the six countries of the East African “Great Lakes” region
  4. 4. Cassava Mosaic Disease (CMD) and Cassava Brown Streak Disease (CBSD) threaten food security in an already impoverished region
  5. 5. CMD infected cassava CBSD in cassava tubers Disease-resistant cassava multiplication plot Participatory selection of varieties
  6. 6. Geo-location using GPS is an essential part of all GLCI field work 60 Garmin Etrex units are already deployed, and more will be purchased. Training in GPS procedures is given to all field staff Key project and partner staff are trained in basic GIS skills, using free and open- source software, in order to view and analyse GPS data against backgrounds of other data sets
  7. 7. CASSAVA HOUSEHOLD DISEASE SURVEYS SURVEYS ADMINISTRATIVE BOUNDARIES AGRICULTURAL PRODUCTION Interpolation Disaggregation of Extrapolation agricultural Extraction of CMD of food production of LAND-USE / incidence and statistics to security data population LANDCOVER severity. district using to unsampled from grids Averaging to districts land cover districts POPULATION DISTRIBUTION FARMING FOOD CASSAVA CMD BY HOUSEHOLDS PRODUCTION DEPENDENCY DISTRICT PER DISTRICT BY DISTRICT BY DISTRICT Interactive MAPS AND selection TARGET TABLES of target DISTRICTS areas by FOR project TARGETING staff
  8. 8. CASSAVA RESISTANT FARMER HOUSEHOLD DISEASE PLANTING GROUP SURVEYS SURVEYS MATERIAL SURVEYS SURVEYS TARGET Mapping and Maps and Maps and DISTRICTS comparison statistics Maps from statistics from with to field GPS field data previous illustrate data data changes in food security INTERNAL PROGRESS DISTRICT ASSESSMENT REPORTS WORK PLANS
  9. 9. SELECTING TARGET DISTRICTS Targeting based on ranking of population, cassava production and CMD incidence
  10. 10. MAPPING DATA FROM FIELD SURVEYS Data from cassava disease surveys and household socio-economic surveys, geo- located by GPS, are mapped by interpolation and averaging
  11. 11. WITHIN-DISTRICT TARGETING USING GRIDS
  12. 12. MAPPING DISTRIBUTION OF RESISTANT CASSAVA VARIETIES
  13. 13. 250 Intel “Aid Station” mini-laptops have been purchased for the project, in cooperation with NetHope These will be used for data collection and analysis, and also for distance learning using Agilix GoCourse training courses developed in the project
  14. 14. GLCI is committed to introduction of advanced data collection and communication technologies, and is experimenting with GPS-enabled mobile devices

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