Rangelands Defying the Odds: A Data Powered Positive Deviance Inquiry in Somalia

The Data Powered Positive Deviance method acts as a kaleidoscope, refracting, combining, and reflecting different perspectives and angles to identify and understand positively deviant communities — Photo by Lyle on Flicker
Figure 1: Communities of 5 km buffer zones representing our unit of analysis within the West Golis livelihood zone.
Figure 2: Homogeneous grouping. a) Land cover 2019, b) Mean seasonal rainfall sum for the period 2016–2020, c) 16 homologs resulting from clustering the rainfall and land cover data over the area of study.
Figure 3: Seasonal SAVI for (a) 2016, (b) 2017, © 2018, (d) 2019, and (e) 2020. (F) is the SAVI z-score indicating the temporal development in vegetation condition from 2016 to 2020.
Figure 4: (Top) Proportion of high z-scores > 2. (Bottom) Mean z-scores of our units of analysis within the West Golis livelihood zone.
Figure 5: Examples of soil and water conservation techniques. On the left, there is a shrub barrier in the frontline with soil erosion to limit its crawling. On the right, half-moon techniques to reduce water run-off.

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Data Powered Positive Deviance DPPD

Data Powered Positive Deviance DPPD

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We are an international collective that is dedicated to utilizing big data to find effective locally developed solutions to complex problems.