Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS [electronic resource] : A Case Study of an Agro-climatic Zone-1 of Gujarat, India / by K. Naveena, Ramiz Tasiya, Shilpesh Rana.

By:

Naveena, K [author.]

Contributor(s):

Material type: Text

TextLanguage: English Series: Publication details: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XI, 48 p. 1 illus. online resourceISBN:

9783031482595

Subject(s):

DDC classification:

551.6 23

Online resources:

Click Here

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. .

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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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode	Item holds
E-Books	National Library of India Online Resource	551.6 (Browse shelf(Opens below))		Available		EBK000047206ENG

Total holds: 0

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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