Document Type
Article
Publication Date
6-1-2023
Journal / Book Title
Decision Analytics Journal
Abstract
Climate change poses the most significant threat to humanity today. This study examines the global warming trend by analyzing temperature changes over the past century, uncovering alarming results. Various models, including the Random Walk with Drift approach with R programming language, have been used to compare different time horizons and scenarios. This research demonstrates the importance of utilizing advanced analytical techniques to better understand climate change's impact. The findings underscore the urgency of implementing effective climate policies to mitigate the effects of global warming and safeguard our planet's future.
DOI
10.1016/j.dajour.2023.100237
MSU Digital Commons Citation
Wang, Leon; Wang, Leigh; Li, Yang; and Wang, John, "A century-long analysis of global warming and earth temperature using a random walk with drift approach" (2023). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 160.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/160
Rights
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Published Citation
Wang, L., Wang, L., Li, Y., & Wang, J. (2023). A century-long analysis of global warming and earth temperature using a random walk with drift approach. Decision Analytics Journal, 7, 100237.