Data Analysis of the Land Fire in California

Wenhan Zheng

2025

Abstract

On a typical afternoon in Los Angeles, California, on January 7, 2025, an unexpected natural disaster - the "land fire" - broke out. This epidemic is slightly different from the past. The fire was not brought under timely control, but continued to spread and decay, losing control. This article will attempt to focus on several types of data collected so far. Firstly, it analyzes the linear relationship between firefighting costs and time, then summarizes the different causes and percentages of fires in California and analyzes data on volcanic coverage areas and total numbers before 2023. These data involve the analysis and prediction of wildfires that have occurred in California over the past five years, including factors such as high-frequency periods, scale, and causes, as well as attempts to use mathematical models to minimize and predict the possible consumption of human and financial resources. Finally, some suggestions and prospects for fires were provided.

Paper Citation

in Harvard Style

Zheng W. (2025). Data Analysis of the Land Fire in California. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 292-298. DOI: 10.5220/0013688200004670

in Bibtex Style

@conference{icdse25,
author={Wenhan Zheng},
title={Data Analysis of the Land Fire in California},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={292-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013688200004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Data Analysis of the Land Fire in California
SN - 978-989-758-765-8
AU - Zheng W.
PY - 2025
SP - 292
EP - 298
DO - 10.5220/0013688200004670
PB - SciTePress