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Information Development, Vol. 23, No. 2-3, 193-204 (2007)
DOI: 10.1177/0266666907078582

From Statistical Data to Spatial Knowledge — informing decision-making in Vietnam

Michael Epprecht

Swiss National Center of Competence in Research (NCCR) 'North-South', Centre for Development and Environment (CDE), University of Berne, Steigerhubelstrasse 3, CH-3008 Berne, Switzerland, michael{at}epprecht.org

Andreas Heinimann

Swiss National Centre of Competence (NCCR) 'North-South', Centre for Development and Environment (CDE), University of Berne, Steigerhubelstrasse 3, CH-3008 Berne, Switzerland, andreas.heinimann{at}cde.unibe.ch

Nicholas Minot

Markets, Trade, and Institutions Division of the International Food Policy Research Institute (IFPRI), 2033 K Street, NW, Washington, DC 20006-1002, USA, n.minot{at}cgiar.org

Daniel Müller

Center for Development Research (ZEF) of the University of Bonn, Walter-Flex-Straße 3, 53113 Bonn, Germany, d.mueller{at}rz.hu-berlin.de

Tim Robinson

Livestock Information Officer of the Pro-Poor Livestock Policy Initiative (PPLPI) of the Food and Agriculture Organization of the United Nations (FAO), Viale delle Terme di Caracalla, 00100, Rome, Italy,tim.robinson{at}fao.org

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.

Key Words: decision support • spatial data • rural development • poverty • geovisualization • spatial analysis • Vietnam


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