株式会社極東書店トップ ＞ 商品一覧 ＞ Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS: A Case Study of an Agro-climatic Zone-1 of Gujarat, India. 1st ed. 2023
商品詳細
Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS: A Case Study of an Agro-climatic Zone-1 of Gujarat, India. 1st ed. 2023
・ISBN 978-3-031-48258-8 paper EUR 44.99
￥12,025.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Naveena, K. / Tasiya, Ramiz / Rana, Shilpesh, |
|---|---|
| シリーズ | (SpringerBriefs in Climate Studies) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 48 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-89008＞ |
解説
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.