Statistics and fluvial geomorphology - HAL Accéder directement au contenu
Chapitre d'ouvrage Année : 2016

Statistics and fluvial geomorphology

Résumé

This chapter reviews statistical tools and illustrates their use to answer geomorphological questions, and also overviews their advantages and limits. Application of statistical tools in fluvial geomorphology has the advantages of reducing subjectivity, eliminating assumptions, facilitating comparison between different spatial and temporal datasets of large sizes and refining data collection. Bivariate statistics, and regressions in particular, have been one of the most popular statistical tools in geomorphology. They focus on the relationship, or correlation, between two variables. Probabilities are useful to generate models in which the variables of interest are categorical, such as indicator variables of events (e.g. occurrence of peak flows). One of the most basic tools dealing with probabilities is the logistic or multinomial models. To develop more realistic descriptions of fluvial morphological systems, process‐response systems, time and space trends and size effects, requires the collection of sufficient data and more thought about their relevance.
Loading...
Fichier non déposé

Dates et versions

halshs-01338510, version 1 (28-06-2016)

Identifiants

Citer

Hervé Piégay, Lise Vaudor. Statistics and fluvial geomorphology. M.G. Kondolf, H. Piégay. Tools in Fluvial Geomorphology, J. Wiley and Sons, pp.476-506, 2016, 9780470684054 / 9781118648551. ⟨10.1002/9781118648551.ch21⟩. ⟨halshs-01338510⟩
93 Consultations
0 Téléchargements
Dernière date de mise à jour le 07/04/2024
comment ces indicateurs sont-ils produits

Altmetric

Partager

Gmail Facebook Twitter LinkedIn Plus