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Exploring the relations between river bank erosion and geomorphological controls using geographically weighted logistic regression

Exploring the relations between river bank erosion and geomorphological controls using geographically weighted logistic regression
Exploring the relations between river bank erosion and geomorphological controls using geographically weighted logistic regression
The relations between riverbank erosion and geomorphological variables that are thought to control or influence erosion are commonly modelled using regression. For a given river, a single regression model might be fitted to data on erosion and its geomorphological controls obtained along the river's length. However, it is likely that the influence of some variables may vary with geographical location (i.e., distance upstream). For this reason, the spatially stationary regression model should be replaced with a non-stationary equivalent. Geographically weighted regression (GWR) is a suitable choice. In this paper, GWR is extended to predict the binary presence or absence of erosion via the logistic model. This extended model was applied to data obtained from historical archives and a spatially intensive field survey of a length of 42 km of the Afon Dyfi in West Wales. The model parameters and the residual deviance of the model varied greatly with distance upstream. The practical implication of the result is that different management practices should be implemented at different locations along the river. Thus, the approach presented allowed inference of spatially varying management practice as a consequence of spatially varying geomorphological process.
0016-7363
58-82
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
German, Sally E.
17c5bb08-61c3-4cd8-8b55-1f169d2499e4
Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Clark, Michael J.
cf683555-eb06-4c97-9530-24a7f1e661d1
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
German, Sally E.
17c5bb08-61c3-4cd8-8b55-1f169d2499e4
Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Clark, Michael J.
cf683555-eb06-4c97-9530-24a7f1e661d1

Atkinson, Peter M., German, Sally E., Sear, David A. and Clark, Michael J. (2003) Exploring the relations between river bank erosion and geomorphological controls using geographically weighted logistic regression. Geographical Analysis, 35 (1), 58-82.

Record type: Article

Abstract

The relations between riverbank erosion and geomorphological variables that are thought to control or influence erosion are commonly modelled using regression. For a given river, a single regression model might be fitted to data on erosion and its geomorphological controls obtained along the river's length. However, it is likely that the influence of some variables may vary with geographical location (i.e., distance upstream). For this reason, the spatially stationary regression model should be replaced with a non-stationary equivalent. Geographically weighted regression (GWR) is a suitable choice. In this paper, GWR is extended to predict the binary presence or absence of erosion via the logistic model. This extended model was applied to data obtained from historical archives and a spatially intensive field survey of a length of 42 km of the Afon Dyfi in West Wales. The model parameters and the residual deviance of the model varied greatly with distance upstream. The practical implication of the result is that different management practices should be implemented at different locations along the river. Thus, the approach presented allowed inference of spatially varying management practice as a consequence of spatially varying geomorphological process.

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Published date: 2003

Identifiers

Local EPrints ID: 14789
URI: https://eprints.soton.ac.uk/id/eprint/14789
ISSN: 0016-7363
PURE UUID: 86156ce6-2900-43fd-88b5-e4bb6f40318e
ORCID for Peter M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880
ORCID for David A. Sear: ORCID iD orcid.org/0000-0003-0191-6179

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Date deposited: 01 Mar 2005
Last modified: 18 May 2019 00:38

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Contributors

Author: Peter M. Atkinson ORCID iD
Author: Sally E. German
Author: David A. Sear ORCID iD
Author: Michael J. Clark

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