| 书目名称 | Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS |
| 副标题 | A Case Study of an A |
| 编辑 | K. Naveena,Ramiz Tasiya,Shilpesh Rana |
| 视频video | |
| 概述 | Presents procedures for the use of R software to monitor rainfall trends.Includes many spatial distribution and land use/land cover maps in colour.Provides methodologies explaining future rainfall pre |
| 丛书名称 | SpringerBriefs in Climate Studies |
| 图书封面 |  |
| 描述 | .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. . |
| 出版日期 | Book 2023 |
| 关键词 | R software approach; Rainfall trend analysis; Mann-Kendall test; Digital elevation model; Climate change |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-48259-5 |
| isbn_softcover | 978-3-031-48258-8 |
| isbn_ebook | 978-3-031-48259-5Series ISSN 2213-784X Series E-ISSN 2213-7858 |
| issn_series | 2213-784X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 |
发表于 2025-3-21 16:26:01
