simleza site characterization for eastern province of zambia
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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

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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

slide2

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
slide4

Source:  Munyaradzi Mutenje, MenaleKassie, and KindieFantaye

Includes farmers in innovation networks?

slide5

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
slide13

Spatial heterogeneity in rainfall and elevation

  • Correlation b/n spatial distribution of temperature elevation
  • Two data layers (9 classes) to stratify SIMLEZA districts
slide14

Final Layer 1. Rainfall

772 -850mm

851-950mm

951-1050mm

1051-1241mm

slide15

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

slide17

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
slide18

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
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