From statistical data to spatial knowledge: Informing decision-making in Vietnam

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...

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Main Authors: Epprecht, Michael, Heinimann, Andreas, Minot, Nicholas, Müller, Daniel, Robinson, Tim
Format: Journal Article
Language:Inglés
Published: SAGE Publications 2007
Subjects:
Online Access:https://hdl.handle.net/10568/171845
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author Epprecht, Michael
Heinimann, Andreas
Minot, Nicholas
Müller, Daniel
Robinson, Tim
author_browse Epprecht, Michael
Heinimann, Andreas
Minot, Nicholas
Müller, Daniel
Robinson, Tim
author_facet Epprecht, Michael
Heinimann, Andreas
Minot, Nicholas
Müller, Daniel
Robinson, Tim
author_sort Epprecht, Michael
collection Repository of Agricultural Research Outputs (CGSpace)
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.
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publishDate 2007
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spelling CGSpace1718452025-02-19T14:07:44Z From statistical data to spatial knowledge: Informing decision-making in Vietnam Epprecht, Michael Heinimann, Andreas Minot, Nicholas Müller, Daniel Robinson, Tim decision support spatial data rural development poverty spatial analysis 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. 2007-05 2025-01-29T12:58:50Z 2025-01-29T12:58:50Z Journal Article https://hdl.handle.net/10568/171845 en Limited Access SAGE Publications 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
spellingShingle decision support
spatial data
rural development
poverty
spatial analysis
Epprecht, Michael
Heinimann, Andreas
Minot, Nicholas
Müller, Daniel
Robinson, Tim
From statistical data to spatial knowledge: Informing decision-making in Vietnam
title From statistical data to spatial knowledge: Informing decision-making in Vietnam
title_full From statistical data to spatial knowledge: Informing decision-making in Vietnam
title_fullStr From statistical data to spatial knowledge: Informing decision-making in Vietnam
title_full_unstemmed From statistical data to spatial knowledge: Informing decision-making in Vietnam
title_short From statistical data to spatial knowledge: Informing decision-making in Vietnam
title_sort from statistical data to spatial knowledge informing decision making in vietnam
topic decision support
spatial data
rural development
poverty
spatial analysis
url https://hdl.handle.net/10568/171845
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