- Title
- Multi-source data integration and identification of uncertainties affecting production of a digital soil map
- Creator
- Robinson, Nathan; Benke, Kurt; Hopley, J.; MacEwan, Richard; Clark, R.; Rees, David; Kitching, Matt; Imhof, Mark; Bardos, David
- Date
- 2014
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34521
- Identifier
- vital:5755
- Identifier
- ISBN:9781138001190 (ISBN)
- Abstract
- Production of a digital soil map for the state of Victoria in Australia is subject to various errors arising from the use of legacy data (as is often the case around the globe). Potential sources of uncertainty for inputs and methods undertaken in the creation of a Victorian DSM version 1.0 (VicDSMv1) are identified. These sources of uncertainty are recognised and issues discussed including their potential contribution to error propagation. Examples include possible errors associated with legacy soil maps, soil sites, laboratory analysis and predictive modelling by regression or spline approaches. Experiences in processing of legacy data in Victoria are described and some aspects of incorporating uncertainty in data discussed. As part of this initial DSM exercise these uncertainties and contextual information will be captured as associated metadata. A framework, as a five component process model for integrated assessment of uncertainty, is suggested based on uncertainty in the mapping process. © 2014 Taylor & Francis Group, London, UK.
- Publisher
- London Taylor & Francis Group
- Relation
- GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference p. 353-358
- Rights
- This metadata is freely available under a CCO license
- Subject
- Component process models; Contextual information; Error propagation; Integrated assessment; Laboratory analysis; Multi-source data integrations; Predictive modelling; Sources of uncertainty
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