Generalised linear modelling in geomorphology

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Standard

Generalised linear modelling in geomorphology. / Atkinson, Peter M.; Jiskoot, Hester; Massari, Remo et al.
In: Earth Surface Processes and Landforms, Vol. 23, No. 13, 12.1998, p. 1185-1196.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Atkinson, PM, Jiskoot, H, Massari, R & Murray, T 1998, 'Generalised linear modelling in geomorphology', Earth Surface Processes and Landforms, vol. 23, no. 13, pp. 1185-1196. https://doi.org/10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W

APA

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

Vancouver

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

Author

Atkinson, Peter M. ; Jiskoot, Hester ; Massari, Remo et al. / Generalised linear modelling in geomorphology. In: Earth Surface Processes and Landforms. 1998 ; Vol. 23, No. 13. pp. 1185-1196.

Bibtex

@article{a9c0c3539a2648829877b27a5278bfb4,

title = "Generalised linear modelling in geomorphology",

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.",

keywords = "generalised linear modelling, logit regression, GLIM, glacier surging, landslide susceptibility",

author = "Atkinson, {Peter M.} and Hester Jiskoot and Remo Massari and Tavi Murray",

note = "M1 - 13",

year = "1998",

month = dec,

doi = "10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W",

language = "English",

volume = "23",

pages = "1185--1196",

journal = "Earth Surface Processes and Landforms",

issn = "0197-9337",

publisher = "Wiley",

number = "13",

}

RIS

TY - JOUR

T1 - Generalised linear modelling in geomorphology

AU - Atkinson, Peter M.

AU - Jiskoot, Hester

AU - Massari, Remo

AU - Murray, Tavi

N1 - M1 - 13

PY - 1998/12

Y1 - 1998/12

N2 - 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.

AB - 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.

KW - generalised linear modelling

KW - logit regression

KW - GLIM

KW - glacier surging

KW - landslide susceptibility

U2 - 10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W

DO - 10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W

M3 - Journal article

VL - 23

SP - 1185

EP - 1196

JO - Earth Surface Processes and Landforms

JF - Earth Surface Processes and Landforms

SN - 0197-9337

IS - 13

ER -

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