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...
| Autores principales: | , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
Bioversity International and International Center for Tropical Agriculture
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/176976 |
| Sumario: | 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. |
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