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 |
| _version_ | 1855533713199202304 |
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| author | Chepsiror, Calvin Song, Chun Berti, Lorenzo |
| author_browse | Berti, Lorenzo Chepsiror, Calvin Song, Chun |
| author_facet | Chepsiror, Calvin Song, Chun Berti, Lorenzo |
| author_sort | Chepsiror, Calvin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Brief |
| id | CGSpace176976 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Bioversity International and International Center for Tropical Agriculture |
| publisherStr | Bioversity International and International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1769762025-11-05T12:17:52Z Spatial sampling in data collection and impact assessment: overview and recent MELIA applications Chepsiror, Calvin Song, Chun Berti, Lorenzo impact assessment data collection spatial data quantitative analysis policy analysis random sampling stratification 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. 2025-10-01 2025-10-10T13:14:29Z 2025-10-10T13:14:29Z Brief https://hdl.handle.net/10568/176976 en Open Access application/pdf Bioversity International and International Center for Tropical Agriculture Chepsiror, C.; Song, C.; Berti, L. (2025) How to apply spatial K-mean clustering method for informing policy planning. Learning Note No. 11 – Quantitative studies. Rome (Italy): Bioversity International and International Center for Tropical Agriculture (CIAT). 3 p. |
| spellingShingle | impact assessment data collection spatial data quantitative analysis policy analysis random sampling stratification Chepsiror, Calvin Song, Chun Berti, Lorenzo Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title | Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title_full | Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title_fullStr | Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title_full_unstemmed | Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title_short | Spatial sampling in data collection and impact assessment: overview and recent MELIA applications |
| title_sort | spatial sampling in data collection and impact assessment overview and recent melia applications |
| topic | impact assessment data collection spatial data quantitative analysis policy analysis random sampling stratification |
| url | https://hdl.handle.net/10568/176976 |
| work_keys_str_mv | AT chepsirorcalvin spatialsamplingindatacollectionandimpactassessmentoverviewandrecentmeliaapplications AT songchun spatialsamplingindatacollectionandimpactassessmentoverviewandrecentmeliaapplications AT bertilorenzo spatialsamplingindatacollectionandimpactassessmentoverviewandrecentmeliaapplications |