Spatial sampling in data collection and impact assessment: overview and recent MELIA applications

This Learning Note introduces spatial sampling as an approach to strengthen data collection and impact assessment in contexts where location and spatial relationships influence outcomes. It provides an overview of key spatial sampling methods and illustrates their application in recent MELIA work to ensure more rigorous, representative, and spatially consistent evaluations of agricultural and climate interventions.

Chepsiror, C.; Song, C.; Berti, L.