From statistical data to spatial knowledge: Informing decision-making in Vietnam
| dc.creator | Epprecht, Michael | |
| dc.creator | Heinimann, Andreas | |
| dc.creator | Minot, Nicholas | |
| dc.creator | Müller, Daniel | |
| dc.creator | Robinson, Tim | |
| dc.date | 2007-05 | |
| dc.date | 2025-01-29T12:58:50Z | |
| dc.date | 2025-01-29T12:58:50Z | |
| dc.date.accessioned | 2026-06-27T15:29:13Z | |
| dc.description | Vietnam has developed rapidly over the past 15 years. However, progress was not uniformly distributed across the country. Availability, adequate visualization and analysis of spatially explicit data on socio-economic and environmental aspects can support both research and policy towards sustainable development. Applying appropriate mapping techniques allows gleaning important information from tabular socio-economic data. Spatial analysis of socio-economic phenomena can yield insights into locally-specific patterns and processes that cannot be generated by non-spatial applications. This paper presents techniques and applications that develop and analyze spatially highly disaggregated socioeconomic datasets. A number of examples show how such information can support informed decision-making and research in Vietnam. | |
| dc.identifier | https://hdl.handle.net/10568/171845 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/105871 | |
| dc.language | en | |
| dc.publisher | SAGE Publications | |
| dc.rights | Limited Access | |
| dc.source | Epprecht, Michael; Heinimann, Andreas; Minot, Nicholas; Müller, Daniel; Robinson, Tim. 2007. From statistical data to spatial knowledge: Informing decision-making in Vietnam. Information Development 23 (2-3): 193-204. https://doi.org/10.1177/0266666907078582 | |
| dc.subject | decision support | |
| dc.subject | spatial data | |
| dc.subject | rural development | |
| dc.subject | poverty | |
| dc.subject | spatial analysis | |
| dc.title | From statistical data to spatial knowledge: Informing decision-making in Vietnam | |
| dc.type | Journal Article |
