Description

This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests.

The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends.

About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other.

This book is aimed at researchers, scientists and government organizations working in the field of climate change.

Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS: A Case Study of an Agro-climatic Zone-1 of Gujarat, India

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Paperback / softback by K. Naveena , Ramiz Tasiya

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This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and... Read more

    Publisher: Springer International Publishing AG
    Publication Date: 16/11/2023
    ISBN13: 9783031482588, 978-3031482588
    ISBN10: 3031482581

    Number of Pages: 48

    Non Fiction , Earth Sciences, Geography & Environment , Education

    Description

    This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests.

    The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends.

    About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other.

    This book is aimed at researchers, scientists and government organizations working in the field of climate change.

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