R Programming and Its Applications in Water Resources Management
Language: English
Published by New India Publishing Agency - NIPA, 2024
- Hardcover
- New

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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - R Programming is a well-developed, simple, and effective programming language and an integrated environment for statistical computing and data analysis. It provides a wide variety of statistical techniques (e.g., linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and raster data processing. The growth of R usage in water science is reflected in the number of newly published packages connecting to water problems.In this book, we explore the usage of different R packages to solve water science issues connecting to rainfall, drought, evapotranspiration, stream flow analysis, etc., advanced statistical and machine learning models like Modified Trend analysis, Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN), hybrid models (ARIMA-ANN, ARIMASVR), Multivariate modeling, spatiotemporal time series modeling, count time series modeling for forecasting, in addition to understanding the Remote Sensing and GIS applications toward mapping and understanding the changing Water Resources.…
Seller Inventory # 9789358873665
- Title
- R Programming and Its Applications in Water Resources Management
- Author
- Naveena K
- Publisher
- New India Publishing Agency - NIPA
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 9358873663
- ISBN 13
- 9789358873665
- Item weight
- 500 grams
- Dimensions
- 229x152x16 mm
In this book, we explore the usage of different R packages to solve water science issues connecting to rainfall, drought, evapotranspiration, stream flow analysis, etc., advanced statistical and machine learning models like Modified Trend analysis, Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN), hybrid models (ARIMA-ANN, ARIMASVR), Multivariate modeling, spatiotemporal time series modeling, count time series modeling for forecasting, in addition to understanding the Remote Sensing and GIS applications toward mapping and understanding the changing Water Resources.
"Synopsis" may belong to another edition of this title.
About the Author
K. Ch. V Naga Kumar: is working as Scientist at Information Systems Facility of LWMRG, CWRDM. He completed his Ph.D. in Geo-Engineering (Remote Sensing and GIS) and M.Tech in Remote Sensing and GIS. He is a recipient of ""Prof.K.Nageswara Rao Endowment Young Achiever Award-2016"" by Indian Society of Geomatics (ISG) and International Union for Quaternary Research (INQUA) Travel grant under Young Researcher category for attending INQUA Congress held at Nagoya, Japan during 26 July - 2 August, 2015.He is a member of Indian Society of Remote Sensing and Indian Society of Geomatics.His research interest includes Coastal Morphodynamics and Holocene Delta Evolution. He has more than 40 publications and handling different plan funded and externally funded projects of CWRDM.
Surendran U: Principal Scientist & Head, Land and Water Management Research Group (LWMRG), CWRDM, completed his Ph.D. and M.Sc. in Soil Science and Agricultural Chemistry. He is a recipient of Young Achiever award from SADHNA,Young scientist project by Department of Science and Technology (DST -SERC-Fast track). He is the editorial board member of Agricultural Water Management, Elsevier publishers, handling editor of Nature - Scientific reports, nature publishing group, and member - International Society for Agricultural Meteorologists, Netherlands etc.His research interest includes Decision Support systems for soil nutrient budgeting and its impact on crop yield, Adsorption of nutrient / Modeling nutrient behaviour in soils and its chemistry, Carbon Sequestration in soils, Climate change and its impact in agriculture, Crop Simulation Modelingetc. He has around 100 national and international publications. He handled different plan funded and external funded projects of CWRDM.
"About the title" may belong to another edition of this title.
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