Priority Areas: Electricity Access & Education
Priority areas are identified using local coefficients estimated through Geographically Weighted Regression (GWR), which measures the spatially varying relationship between access to electricity and education using the indicator of percentage of population with secondary education .
The tool highlights locations where the local association between electricity access and the selected nutrition indicator is both negative and statistically significant. In this application, priority areas are further restricted to locations where electricity access is below 80%, ensuring that the results remain relevant for policy intervention.
The identified areas are classified as having strong, moderate, or mild associations according to the magnitude of the local GWR coefficient. This classification helps users determine the appropriate intensity of intervention. The spatially varying coefficients therefore allow users to identify areas where limited electricity access is most strongly associated with higher education, supporting targeted interventions, programme planning, and place-based development strategies.
Related Policies and targets
Source
Suggested citation
Spatial Prioritization of Infrastructure Investments to Reduce Social Vulnerability: Evidence from Uganda. Casati P. et al. (2026). Submitted
License
Date or time period of observation
2019
Frequency of Update
Geographic coverage
WMS base URL
https://akp-dev.biopama.org/geoserver/gwc/
Legend URL
https://akp-dev.biopama.org/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.3.0&FORMAT=image/png&WIDTH=20&HEIGHT=20&transparent=true&LAYER=akp:electr_sedu_all_var_uga_poly
Layer Data Type
Geospatial server type
Contact Point
Paola.Casati@ext.ec.europa.eu
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