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

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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Naveena, K. (مؤلف), Tasiya, Ramiz (مؤلف), Rana, Shilpesh (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
الطبعة:1st ed. 2023.
سلاسل:SpringerBriefs in Climate Studies,
الموضوعات:
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-48259-5
الوسوم: إضافة وسم
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505 0 |a 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. . 
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. . 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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