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. © 2007 Sage Publications.
CITATION STYLE
Epprecht, M., Heinimann, A., Minot, N., Müller, D., & Robinson, T. (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
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