Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level
| dc.coverage | Mali | |
| dc.creator | Khalil, C.A.; di Candia, S.; | |
| dc.date | 2023-04-27T14:02:57Z | |
| dc.date | 2023-04-27T14:02:57Z | |
| dc.date | 2023 | |
| dc.date | 2023-10-24T13:35:29.0000000Z | |
| dc.date.accessioned | 2026-06-28T00:48:41Z | |
| dc.description | The present technical report illustrates a case study on the adoption of small area estimation techniques to produce granular sub-national estimates of SDG Indicators 2.3.1 and 2.3.2, by integrating survey microdata with auxiliary information retrieved from various trustworthy geospatial information systems. The technical report provides practical guidance to national statistical offices and other institutions wanting to implement small area estimation techniques on SDG Indicators 2.3.1 and 2.3.2 or similar indicators based on surveys microdata. | |
| dc.format | 46 p. | |
| dc.format | application/pdf | |
| dc.identifier | 978-92-5-137545-7 | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/cc3944en | |
| dc.identifier | http://www.fao.org/3/cc3944en/cc3944en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/319489 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | FAO | |
| dc.rights | CC BY NC SA 3.0 IGO | |
| dc.title | Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level | |
| dc.title | Case study on SDG Indicators 2.3.1 and 2.3.2 | |
| dc.type | Book (stand-alone) |