Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation
Joint Authors
Li, Weidong
Zhang, Chuanrong
Dey, Dipak K.
Willig, Michael R.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Updating categorical soil maps is necessary for providing current, higher-quality soil data to agricultural and environmental management but may not require a costly thorough field survey because latest legacy maps may only need limited corrections.
This study suggests a Markov chain random field (MCRF) sequential cosimulation (Co-MCSS) method for updating categorical soil maps using limited survey data provided that qualified legacy maps are available.
A case study using synthetic data demonstrates that Co-MCSS can appreciably improve simulation accuracy of soil types with both contributions from a legacy map and limited sample data.
The method indicates the following characteristics: (1) if a soil type indicates no change in an update survey or it has been reclassified into another type that similarly evinces no change, it will be simply reproduced in the updated map; (2) if a soil type has changes in some places, it will be simulated with uncertainty quantified by occurrence probability maps; (3) if a soil type has no change in an area but evinces changes in other distant areas, it still can be captured in the area with unobvious uncertainty.
We concluded that Co-MCSS might be a practical method for updating categorical soil maps with limited survey data.
American Psychological Association (APA)
Li, Weidong& Zhang, Chuanrong& Dey, Dipak K.& Willig, Michael R.. 2013. Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1033077
Modern Language Association (MLA)
Li, Weidong…[et al.]. Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation. The Scientific World Journal No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1033077
American Medical Association (AMA)
Li, Weidong& Zhang, Chuanrong& Dey, Dipak K.& Willig, Michael R.. Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1033077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033077