Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS - Naveena, K.;Tasiya, Ramiz;Rana, Shilpesh
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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 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…mehr

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Produktbeschreibung
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.
Autorenporträt
Naveena K. is a highly accomplished scientist working at the Centre for Water Resource Development and Management (CWRDM). With a Ph.D. and M.Sc. in Agricultural Statistics, he has received prestigious awards such as the Young Achiever Award from the Society for Advancement of Human and Nature, the SP Dhall Distinguished Publication Award in Statistics, and the Young Scientist Award from the ASTHA Foundation. His research interests cover Machine Learning Modeling, Forecasting Modeling and Design of Experiment. He has contributed significantly to the scientific knowledge in these areas through over 20 publications in renowned journals. Ramiz Tasiya is presently working as a civil engineering consultant and has completed M.E. Civil-Hydraulic structures from the Civil Engineering Department, Faculty of Technology and Engineering, M.S. University of Baroda, Vadodara. He has published two research papers in good quality Scopus indexed journals. Shilpesh Rana is presently working as an Assistant Professor in the Civil Engineering Department at the Faculty of Technology and Engineering, M.S. University of Baroda, and has completed his PhD from SVNIT Surat. His areas of research include water resources engineering and climate change. He has published more than 20 research papers, out of which 11 are in reputed Scopus indexed journals. Furthermore, he has guided seven M.E. students in their dissertation. He has also published two books.