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: | , , |
|---|---|
| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
Bioversity International and International Center for Tropical Agriculture
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/176976 |
Ejemplares similares: Spatial sampling in data collection and impact assessment: overview and recent MELIA applications
- How to apply spatial K-mean clustering method for informing policy planning
- Climate change and agricultural productivity in sub-Saharan Africa: A spatial sample selection model
- Spatial and temporal changes of vegetable production in China
- Some thoughts on sampling design
- Spatially explicit perceptions of ecosystem services and land cover change in forested regions of Borneo
- Spatial production allocation model (SPAM) 2005: Technical documentation