The University of Southampton
University of Southampton Institutional Repository

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

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), pp. 58-82.

Record type: Article


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.

PDF Atkinson_et_al_GA_2003.pdf - Other
Download (615kB)

More information

Published date: 2003


Local EPrints ID: 14789
ISSN: 0016-7363
PURE UUID: 86156ce6-2900-43fd-88b5-e4bb6f40318e
ORCID for David A. Sear: ORCID iD

Catalogue record

Date deposited: 01 Mar 2005
Last modified: 17 Jul 2017 16:52

Export record


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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.