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.
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