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Generalised linear modelling in geomorphology (in special issue: Technical & Software bulletin 1998)

Generalised linear modelling in geomorphology (in special issue: Technical & Software bulletin 1998)
Generalised linear modelling in geomorphology (in special issue: Technical & Software bulletin 1998)
Generalized linear modelling (GLM) is a statistical technique used to model the relation between a response variable and a set of explanatory variables. GLM is similar to the well known multiple regression. However, GLM is a powerful technique for exploratory data analysis with many advantages over more traditional techniques. For example, GLM allows the incorporation of categorical as well as continuous response and explanatory variables in the analysis. In this paper, GLM is explained and two examples of the application of the technique in geomorphology are given. The first example involves glacier surging and the second involves landslide susceptibility. The examples demonstrate the relevance of GLM to many common problems in geomorphology.
generalised linear modelling, logit regression, glim, glacier surging, landslide susceptibility
0197-9337
1185-1196
Atkinson, P.M.
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Jiskoot, H.
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Massari, R.
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Murray, T.
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Atkinson, P.M.
aaaa51e4-a713-424f-92b0-0568b198f425
Jiskoot, H.
4adc07ed-d8ec-43c8-98d7-73daaf5b0643
Massari, R.
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Murray, T.
d0a7fb0c-eea9-4765-948b-2ab174e4d37c

Atkinson, P.M., Jiskoot, H., Massari, R. and Murray, T. (1998) Generalised linear modelling in geomorphology (in special issue: Technical & Software bulletin 1998). Earth Surface Processes and Landforms, 23 (13), 1185-1196. (doi:10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W).

Record type: Article

Abstract

Generalized linear modelling (GLM) is a statistical technique used to model the relation between a response variable and a set of explanatory variables. GLM is similar to the well known multiple regression. However, GLM is a powerful technique for exploratory data analysis with many advantages over more traditional techniques. For example, GLM allows the incorporation of categorical as well as continuous response and explanatory variables in the analysis. In this paper, GLM is explained and two examples of the application of the technique in geomorphology are given. The first example involves glacier surging and the second involves landslide susceptibility. The examples demonstrate the relevance of GLM to many common problems in geomorphology.

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Published date: 1998
Additional Information: Special issue edited by J. Hardisty
Keywords: generalised linear modelling, logit regression, glim, glacier surging, landslide susceptibility

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Local EPrints ID: 17336
URI: http://eprints.soton.ac.uk/id/eprint/17336
ISSN: 0197-9337
PURE UUID: 315e7f0b-bb6f-4c54-ad07-2f6afc1e3a1a

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Date deposited: 24 Aug 2005
Last modified: 15 Mar 2024 05:58

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Contributors

Author: P.M. Atkinson
Author: H. Jiskoot
Author: R. Massari
Author: T. Murray

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