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

Epprecht, Michael; Heinimann, Andreas; Minot, Nicolas; Mueller, Daniel; Robinson, Tim (2007). From Statistical Data to Spatial Knowledge - informing decision making in Vietnam. Information development, 22(2-3), pp. 193-204. London: Sage 10.1177/0266666907078582

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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-specifi c 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 decisionmaking and research in Vietnam.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > NCCR North-South Management Centre (discontinued)
10 Strategic Research Centers > Centre for Development and Environment (CDE)

UniBE Contributor:

Epprecht, Michael and Heinimann, Andreas

ISSN:

0266-6669

Publisher:

Sage

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:59

Last Modified:

17 Aug 2015 17:07

Publisher DOI:

10.1177/0266666907078582

BORIS DOI:

10.7892/boris.25544

URI:

https://boris.unibe.ch/id/eprint/25544 (FactScience: 59073)

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