1 / 20

SIMLEZA Site Characterization for Eastern Province of Zambia

SIMLEZA Site Characterization for Eastern Province of Zambia. Zhe Guo, Carlo Azzarri, Beliyou Haile SIMLEZA - Africa RISING Meeting 28-29 May 2013, Lilongwe, Malawi. Objectives. Understand the spatial pattern and heterogeneity Choose appropriate data layers for stratification

davin
Télécharger la présentation

SIMLEZA Site Characterization for Eastern Province of Zambia

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SIMLEZA Site Characterization for Eastern Province of Zambia Zhe Guo, Carlo Azzarri, Beliyou Haile SIMLEZA - Africa RISING Meeting 28-29 May 2013, Lilongwe, Malawi

  2. Objectives • Understand the spatial pattern and heterogeneity • Choose appropriate data layers for stratification • Thus help • Better target interventions • Identify representative or otherwise appropriate action and control sites • Guide scaling-up/scaling-out efforts within, across, and beyond

  3. Data Source: Naomi Kamanga and Walter Mupangwa (N=225) Lundazi Chipata Katete

  4. Source:  Munyaradzi Mutenje, MenaleKassie, and KindieFantaye Includes farmers in innovation networks?

  5. Review of Spatial Biophysical and Socio-economic Data Layers ; Afripop • Candidate data layers mapped to visualize their spatial distribution • Final layers aggregated by classes • Results will need refining

  6. Little within spatial heterogeneity (based on Land scan but result is the same based on Afripop)

  7. Spatial heterogeneity

  8. Little within spatial heterogeneity

  9. Little within spatial heterogeneity

  10. Little within spatial heterogeneity

  11. Spatial heterogeneity

  12. Spatial heterogeneity

  13. Spatial heterogeneity in rainfall and elevation • Correlation b/n spatial distribution of temperature elevation • Two data layers (9 classes) to stratify SIMLEZA districts

  14. Final Layer 1. Rainfall 772 -850mm 851-950mm 951-1050mm 1051-1241mm

  15. Final Layer 2. Elevation 369-700 m 701-900m 901-1100m 1101-2237m Excluded area - No farmers in this range based on available farmer location

  16. Final Classification

  17. Conclusion and Caveats • Candidate layers – population, market access, temperature, LGP, slope, elevation and rainfall • Maps based on GIS location of 225 farmers from 7 camps in 3 districts • Final layers for stratification - elevation and rainfall; 9 classes • Site/Camp stratification: • Ludanzi (Hoya and Vuu): Low R - High E • Chipata (Kapara, Mtaya, and Chanje ): Low R and Medium E; Medium R and Medium E; Medium R and Low E • Katete (Kawalala and Kafumbwe): High R and Medium E • Coarse resolution metadata more suitable to global analysis

  18. Next Steps • Update maps based on • Feedback from Zambia team • Higher-resolution/better data layers from Zambia team • Data for all farmers (e.g., could there more than 1 class in Ludanzi: low-low), including from Mesekra • Identification of target and control sites • Data collection efforts • Review of existing data • SIMLEZA baseline survey tool

  19. Thank you!

  20. Source:  Munyaradzi Mutenje, MenaleKassie, and KindieFantaye

More Related