arianecast/ExcessIceBetaRegression: Predicting excess ground ice content with a beta regression model

• Main Authors: Castagner, Ariane, Brenning, Alexander
• Other Authors: Gruber, Stephan, Kokelj, Steve
• Format: Software
• Language: unknown
• Published: 2022
• Subjects: permafrost; ground ice; excess ice; Arctic; Northwest Territories; Canada; Tuktoyaktuk; Ice
• Online Access: https://zenodo.org/record/6908993; https://doi.org/10.5281/zenodo.6908993

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). Full Changelog: https://github.com/arianecast/ExcessIceBetaRegression/commits/v1.0 We acknowledge support from the Natural Sciences and Engineering Research Council of Canada via Strategic Project #521584 and Discovery Grant #4783.