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ReSAKSS e Atlas in ECA
Stella Massawe-ReSAKSS ECA
24th October, 2018
Countries Covered
1. Burundi
2. DRC
3. Kenya
4. Ethiopia
5. Rwanda
6. Tanzania
7. South Sudan
8. Uganda
9. Sudan (new, not online yet)
10. Egypt (new, not online yet)
11. Djibouti (new, not online yet)
Our Activities
• Data collation and mapping
• Organizing training workshops in collaboration with countries
• Technical support to countries targeted to state and non-state
actors
• As they do data collation and mapping
• As they use/ plan to use the data
• Work with countries to produce knowledge products
Categories of Data
• Biophysical
• Socio economic
• Demographic and Health
• Crops
• Livestock and livestock products
• Input use
• Fisheries (new)
• Crop and livestock diseases (new)
• Markets and Trade (new)
• Resilience (new)
Cattle Milk production (Kilograms)
Distribution of Brucellosis cases
by province DVS 2003-2010
(%)
Total Fish Production by
county in Kenya, 2014
Downloaded map for
use
Poster: Sub-national Distribution of Stunting in EAC
Concluding Remarks
• GIS and geospatial data are important and powerful tools for:
• Policy Analysis
• Policy support (targeting, priority setting)
• Communication to inform agricultural policy
• Policy advocacy
• Agriculture stakeholders (State ad NSA, researchers,
development partners can contribute to e-atlas
• Sharing data for inclusion
• Using data from the platform
• Letting others know about the data
• Advise on what additional information to be included
• Provide financial support to spatial data activities in agriculture
http://eatlas.resakss.org
THANK YOU

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ReSAKSS e Atlas in Eastern and Central Africa

  • 1. ReSAKSS e Atlas in ECA Stella Massawe-ReSAKSS ECA 24th October, 2018
  • 2. Countries Covered 1. Burundi 2. DRC 3. Kenya 4. Ethiopia 5. Rwanda 6. Tanzania 7. South Sudan 8. Uganda 9. Sudan (new, not online yet) 10. Egypt (new, not online yet) 11. Djibouti (new, not online yet)
  • 3. Our Activities • Data collation and mapping • Organizing training workshops in collaboration with countries • Technical support to countries targeted to state and non-state actors • As they do data collation and mapping • As they use/ plan to use the data • Work with countries to produce knowledge products
  • 4. Categories of Data • Biophysical • Socio economic • Demographic and Health • Crops • Livestock and livestock products • Input use • Fisheries (new) • Crop and livestock diseases (new) • Markets and Trade (new) • Resilience (new)
  • 6. Distribution of Brucellosis cases by province DVS 2003-2010 (%)
  • 7. Total Fish Production by county in Kenya, 2014
  • 10. Concluding Remarks • GIS and geospatial data are important and powerful tools for: • Policy Analysis • Policy support (targeting, priority setting) • Communication to inform agricultural policy • Policy advocacy • Agriculture stakeholders (State ad NSA, researchers, development partners can contribute to e-atlas • Sharing data for inclusion • Using data from the platform • Letting others know about the data • Advise on what additional information to be included • Provide financial support to spatial data activities in agriculture