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Spatio-temporal trend analysis of rainfall using R software and ArcGISa case study of an agro-climatic zone-1 of Gujarat, India /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatio-temporal trend analysis of rainfall using R software and ArcGISby K. Naveena, Ramiz Tasiya, Shilpesh Rana.
Reminder of title:	a case study of an agro-climatic zone-1 of Gujarat, India /
Author:	Naveena, K.
other author:	Tasiya, Ramiz.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xi, 48 p. :illustrations, digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Rain and rainfallStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-031-48259-5
ISBN:	9783031482595$q(electronic bk.)

Spatio-temporal trend analysis of rainfall using R software and ArcGISa case study of an agro-climatic zone-1 of Gujarat, India /
Naveena, K.

Spatio-temporal trend analysis of rainfall using R software and ArcGISa case study of an agro-climatic zone-1 of Gujarat, India /[electronic resource] :by K. Naveena, Ramiz Tasiya, Shilpesh Rana. - Cham :Springer Nature Switzerland :2023. - xi, 48 p. :illustrations, digital ;24 cm. - SpringerBriefs in climate studies,2213-7858. - SpringerBriefs in climate studies..

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.

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.

ISBN: 9783031482595$q(electronic bk.)

Standard No.: 10.1007/978-3-031-48259-5doiSubjects--Topical Terms:

964525
Rain and rainfall
--Statistical methods.

LC Class. No.: QC925 / .N384 2023

Dewey Class. No.: 551.577

Spatio-temporal trend analysis of rainfall using R software and ArcGISa case study of an agro-climatic zone-1 of Gujarat, India /
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520 $a 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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