Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada

• Main Authors: Daly, Seamus, University of Lethbridge. Faculty of Arts and Science
• Other Authors: Bonnaventure, Philip
• Format: Thesis
• Language: English
• Published: Lethbridge, Alta. : University of Lethbridge, Dept. of Geography & Environment 2021
• Subjects: Forest fire forecasting > Northwest Territories; Logistic regression analysis; Permafrost > Northwest Territories; Permafrost > Remote sensing; Taigas > Ecology; Taigas > Northwest Territories; Dissertations; Academic; Canada; Northwest Territories; Whatì; permafrost
• Online Access: https://hdl.handle.net/10133/5842

For remote communities, access to permafrost information for hazard assessment is a considerable challenge. This study applies analytical methods illustrating a time- and cost-efficient method for conducting community-scale permafrost mapping in the community of Whatì, NT. A binary logistic regressi...