Spatial prediction on a river network

Cressie, Noel, Frey, Jesse, Harch, Bronwyn, & Smith, Mick (2006) Spatial prediction on a river network. Journal of Agricultural, Biological, and Environmental Statistics, 11(2), pp. 127-150.

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This article develops methods for spatially predicting daily change of dissolved oxygen (Dochange) at both sampled locations (134 freshwater sites in 2002 and 2003) and other locations of interest throughout a river network in South East Queensland, Australia. In order to deal with the relative sparseness of the monitoring locations in comparison to the number of locations where one might want to make predictions, we make a classification of the river and stream locations. We then implement optimal spatial prediction (ordinary and constrained kriging) from geostatistics. Because of their directed-tree structure, rivers and streams offer special challenges. A complete approach to spatial prediction on a river network is given, with special attention paid to environmental exceedances. The methodology is used to produce a map of Dochange predictions for 2003. Dochange is one of the variables measured as part of the Ecosystem Health Monitoring Program conducted within the Moreton Bay Waterways and Catchments Partnership.

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41 citations in Web of Science®

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ID Code: 72778
Item Type: Journal Article
Refereed: Yes
Additional Information: Cited By (since 1996):29
Export Date: 26 May 2014
Source: Scopus
Additional URLs:
Keywords: Covariance-matching constrained kriging, Dissolved oxygen, Ordinary kriging, Process-convolution model, River monitoring network, Spatial moving average, geostatistics, kriging, numerical model, prediction, river, water quality, Australasia, Australia, Queensland
DOI: 10.1198/108571106X110649
ISSN: 1085-7117
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2006 American Statistical Association and the International Biometric Society.
Deposited On: 12 Jun 2014 23:33
Last Modified: 17 Jun 2014 23:08

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