Predicting excess ground ice content with a beta regression model

This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The...

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Bibliographic Details
Main Authors: Castagner, Ariane, Brenning, Alexander
Other Authors: Gruber, Stephan, Kokelj, Steve
Format: Other/Unknown Material
Language:English
Published: Zenodo 2022
Subjects:
Ice
Online Access:https://doi.org/10.5281/zenodo.6908790
Description
Summary:This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The R code reproduces all of the analyses performed in this publication (fitting the beta regression model using geotechnical variables, bootstrapping confidence intervals, and producing base plots). We acknowledge support from the Natural Sciences and Engineering Research Council of Canada via Strategic Project #521584 and Discovery Grant #4783.