Facilitating sustainable catchment management through spatial data infrastructure design and development

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Paudyal, Dev Raj. 2009. "Facilitating sustainable catchment management through spatial data infrastructure design and development." Georgiadou, Yola, Nedovic-Budic, Zorica, Miscione, Gianluca and Crompvoets, Joep (ed.) A PhD Workshop on 'Theory-based SDI Research: North and South'. Delft, The Netherlands 14 Jul 2009 The Netherlands.
Paper/Presentation Title

Facilitating sustainable catchment management through spatial data infrastructure design and development

Presentation TypeOther
Authors
AuthorPaudyal, Dev Raj
EditorsGeorgiadou, Yola, Nedovic-Budic, Zorica, Miscione, Gianluca and Crompvoets, Joep
Number of Pages18
Year2009
Place of PublicationThe Netherlands
Web Address (URL) of Paperhttp://www.spatialist.be/eng/act/20090614.htm
Conference/EventA PhD Workshop on 'Theory-based SDI Research: North and South'
Event Details
A PhD Workshop on 'Theory-based SDI Research: North and South'
Event Date
14 Jul 2009
Event Location
Delft, The Netherlands
Abstract

This research paper discusses the importance of spatial data and Spatial Data Infrastructure (SDI) for catchment management. It reviews four SDI theories including hierarchical spatial theory, diffusion theory, evolution theory and principal-agent (P-A) theory and discusses their characteristics and potential utilisation for catchment
management. As catchment management issues are characterised by multi-level stakeholder participation in SDI implementation, the theory of hierarchy and the P-A
theory may assist in exploring in greater depth the context of building SDI at the catchment level. Based upon existing SDI theory, it explores a conceptual framework
and its implications for more effective development of catchment-based SDI. The framework which is based upon hierarchical theory, investigates the communitygovernment
interaction between various catchment and administrative/political levels for developing SDI. Such a framework is complex and potentially has many levels.
Additionally, the cross-jurisdictional linkages required to implement this framework within the existing administrative/political SDI framework also need to be carefully examined. The framework is explored through a case study of the Murray-Darling Basin in Australia, one of the world’s largest catchments. The challenges for developing an SDI which effectively supports the decision making within and across this catchment will be discussed and the potential strengths and weakness of the proposed framework identified in the context of this case study.

Keywordsspatial data; spatial data infrastructure; SDI; hierarchical spatial theory; diffusion theory; evolution theory; principal-agent (P-A) theory
ANZSRC Field of Research 2020401302. Geospatial information systems and geospatial data modelling
Byline AffiliationsAustralian Centre for Sustainable Catchments
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