Spatio-temporal trend analysis of rainfall using R software and ArcGIS : a case study of an agro-climatic zone-1 of Gujarat, India / K. Naveena, Ramiz Tasiya, Shilpesh Rana.
2023
QC925 .N384 2023
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Title
Spatio-temporal trend analysis of rainfall using R software and ArcGIS : a case study of an agro-climatic zone-1 of Gujarat, India / K. Naveena, Ramiz Tasiya, Shilpesh Rana.
Author
ISBN
9783031482595 (electronic bk.)
303148259X (electronic bk.)
9783031482588
3031482581
303148259X (electronic bk.)
9783031482588
3031482581
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xi, 48 pages) : illustrations.
Item Number
10.1007/978-3-031-48259-5 doi
Call Number
QC925 .N384 2023
Dewey Decimal Classification
551.57/7
Summary
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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Includes bibliographical references.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 21, 2023).
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Series
SpringerBriefs in climate studies, 2213-7858
Available in Other Form
Print version: 9783031482588
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Table of Contents
Chapter 1. Introduction
Chapter 2. Literature survey
Chapter 3. Study area and data collection
Chapter 4. Methodology
Chapter 5. Computations
Chapter 6. Results and discussion
Chapter 7. Conclusion.
Chapter 2. Literature survey
Chapter 3. Study area and data collection
Chapter 4. Methodology
Chapter 5. Computations
Chapter 6. Results and discussion
Chapter 7. Conclusion.