國立虎尾科技大學 |

Spatio-temporal trend analysis of rainfall using R software and ArcGIS = a case study of an agro-climatic zone-1 of Gujarat, India /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Spatio-temporal trend analysis of rainfall using R software and ArcGIS/ by K. Naveena, Ramiz Tasiya, Shilpesh Rana.
其他題名:	a case study of an agro-climatic zone-1 of Gujarat, India /
作者:	Naveena, K.
其他作者:	Tasiya, Ramiz.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xi, 48 p. :illustrations, digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Rain and rainfall - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-3-031-48259-5
ISBN:	9783031482595

Spatio-temporal trend analysis of rainfall using R software and ArcGIS = a case study of an agro-climatic zone-1 of Gujarat, India /
Naveena, K.

Spatio-temporal trend analysis of rainfall using R software and ArcGISa case study of an agro-climatic zone-1 of Gujarat, India /[electronic resource] :by K. Naveena, Ramiz Tasiya, Shilpesh Rana. - Cham :Springer Nature Switzerland :2023. - xi, 48 p. :illustrations, digital ;24 cm. - SpringerBriefs in climate studies,2213-7858. - SpringerBriefs in climate studies..

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.

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.

ISBN: 9783031482595

Standard No.: 10.1007/978-3-031-48259-5doiSubjects--Topical Terms:

1434435
Rain and rainfall
--Statistical methods.

LC Class. No.: QC925 / .N384 2023

Dewey Class. No.: 551.577

Spatio-temporal trend analysis of rainfall using R software and ArcGIS = a case study of an agro-climatic zone-1 of Gujarat, India /
LDR:02276nam a2200337 a 4500 001 1119641
003 DE-He213
005 20231115121931.0
006 m d
007 cr nn 008maaau
008 240612s2023 sz s 0 eng d
020 $a 9783031482595 $q (electronic bk.)
020 $a 9783031482588 $q (paper)
024 7 $a 10.1007/978-3-031-48259-5 $2 doi
035 $a 978-3-031-48259-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QC925 $b .N384 2023
072 7 $a RBP $2 bicssc
072 7 $a SCI042000 $2 bisacsh
072 7 $a RBP $2 thema
082 0 4 $a 551.577 $2 23
090 $a QC925 $b .N323 2023
100 1 $a Naveena, K. $3 1434432
245 1 0 $a Spatio-temporal trend analysis of rainfall using R software and ArcGIS $h [electronic resource] : $b a case study of an agro-climatic zone-1 of Gujarat, India / $c by K. Naveena, Ramiz Tasiya, Shilpesh Rana.
260 $a Cham : $c 2023. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xi, 48 p. : $b illustrations, digital ; $c 24 cm.
490 1 $a SpringerBriefs in climate studies, $x 2213-7858
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.
650 0 $a Rain and rainfall $x Statistical methods. $3 1434435
650 0 $a R (Computer program language) $3 679069
650 1 4 $a Climate Sciences. $3 1365898
650 2 4 $a Earth and Environmental Sciences. $3 1387959
650 2 4 $a Environmental Engineering/Biotechnology. $3 677817
650 2 4 $a Engineering and Technology Education. $3 1388767
650 2 4 $a Geography. $3 654331
700 1 $a Tasiya, Ramiz. $3 1434433
700 1 $a Rana, Shilpesh. $3 1434434
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in climate studies. $3 1023028
856 4 0 $u https://doi.org/10.1007/978-3-031-48259-5
950 $a Earth and Environmental Science (SpringerNature-11646)