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Time Series Analysis of Climatic Change

by Mani N , Rithika S , Sivakumaran P. K.
Save 12% Save 12%
Current price ₹4,237.00
Original price ₹4,832.00
Original price ₹4,832.00
Original price ₹4,832.00
(-12%)
₹4,237.00
Current price ₹4,237.00

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Book cover type: Paperback
  • ISBN13: 9786207996124
  • Binding: Paperback
  • Subject: N/A
  • Publisher: LAP Lambert Academic Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Publication Date:
  • Pages: 88
  • Original Price: GBP 38.19
  • Language: English
  • Edition: N/A
  • Item Weight: 127 grams
  • BISAC Subject(s): Probability & Statistics / General

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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