@inproceedings{7888cab3ef7544b6a4619861bce932d2,
title = "Data science approach for Climate Change in Saudi Arabia: Trend analysis",
abstract = "Climate change is among the most urgent issues of concern for global, national, and local societies in recent decades. Almost all scientists agree that sudden changes in climate and rising global temperatures are bad for our physical and ecological environments as well as the health and safety of our people, both now and in the future. Evidence suggests that heavy fuel use, urban development, changes in land use, and deforestation are the main causes of environmental anomalies like heat waves, storms, droughts, more rain, floods, and other types of extreme weather. In this paper, we are based on trend analysis to look at how the climate is changing in Saudi Arabia and figure out what is causing it.",
keywords = "analysis, climate change, correlation, humidity, linear regression, saudi arabia, temperature",
author = "Faisal Turki and Fatma Masmoudi and Elham Kariri",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023 ; Conference date: 14-03-2023 Through 15-03-2023",
year = "2023",
doi = "10.1109/WiDS-PSU57071.2023.00014",
language = "English",
series = "Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
editor = "Amjad Rehman and Tanzila Saba and Jamail, \{Nor Shahida\} and Rabia Latif",
booktitle = "Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023",
address = "United States",
}
