Time Series Analysis of Climatic Change
N, Mani; S, Rithika; P.K, Sivakumaran
ISBN 10: 6207996127 ISBN 13: 9786207996124
Published by LAP LAMBERT Academic Publishing, 2025
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Synopsis:
This book explores the importance of accurate rainfall forecasting for water resource management, agriculture, and disaster preparedness. It presents a comparative analysis of two forecasting models—Support Vector Regression (SVR) and Seasonal Auto Regressive Integrated Moving Average (SARIMA)—using historical rainfall data from 2008 to 2021 to predict trends from 2022 to 2026. Through statistical and visualization techniques such as trend analysis, moving averages, box plots, heatmaps, Z-scores, and density plots, the study identifies patterns and anomalies in rainfall data. While both models show good predictive ability, SVR demonstrates superior performance, especially in capturing complex, non-linear patterns. The book highlights the advantages of integrating machine learning methods with traditional statistical tools to improve rainfall forecasting and support data-driven decisions in agriculture, environmental planning, and climate resilience.
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Bibliographic Details
Title: Time Series Analysis of Climatic Change
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2025
Binding: PAP
Condition: New