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Books in Environmental data

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Coastal Altimetry

  • 1st Edition
  • June 27, 2023
  • Stefano Vignudelli + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 1 7 0 8 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 8 5 7 1 - 0
Coastal Altimetry: Selected Case Studies from Asian Shelf Seas provides information on developments over the past decade in the processing of remotely sensed altimetry in coastal areas, with an overview of expected errors and where they stem from, along with remaining gaps in processing. Challenges covered include the retracking of the altimetric signal to account for land contamination, tropospheric water corrections, and tidal model improvements, along with the pros and cons of widely available products. Additional chapters provide recent research in the regional seas of Asia and cover variability, dynamics, predictability and prediction, impacts of extreme events, effects to ecosystems, and more. This book offers readers a dataset that can illuminate our understanding of the propagation of planetary boundary waves that have a significant sea level signal in near coastal regions. As such, researchers and students who have a foundation in satellite altimetry and want to know the latest development of open ocean and coastal satellite altimetry, especially in Asian coastal regions, will benefit from this book.

Environmental Data Analysis with MatLab or Python

  • 3rd Edition
  • August 14, 2022
  • William Menke
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 5 7 6 - 8
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 5 7 7 - 5
Environmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment. Significant content in Environmental Data Analysis with MATLAB, Third Edition is devoted to teaching how the programs can be effectively used in an environmental data analysis setting. This new edition offers chapters that can both be used as self-contained resources or as a step-by-step guide for students, and is supplemented with data and scripts to demonstrate relevant use cases.

Data, Statistics, and Useful Numbers for Environmental Sustainability

  • 1st Edition
  • May 14, 2021
  • Benoit Cushman-Roisin + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 2 9 5 8 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 0 1 1 - 4
Data, Statistics, and Useful Numbers for Environmental Sustainability: Bringing the Numbers to Life is an accessible reference for researchers working in environmental and sustainability fields who need to communicate the latest data and statistics to reinforce their own research or message. The book compiles the most-needed numbers into one resource and covers a variety of relevant topics, including materials, energy, environment, city planning, electronics, and waste. This handbook is clearly indexed and full of comprehensive tables, making it easy to find answers. Researchers in environmental and sustainability-related fields will find it an invaluable resource.

Floods

  • 1st Edition
  • November 16, 2017
  • Freddy Vinet
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 2 6 9 - 4
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 2 3 8 4 - 6
The management of flood risk seems to be facing a daunting paradox. Despite increasingly effective risk knowledge tools and the efforts of international institutions to place risk reduction at the top of the agenda, the cost of disasters continues to increase. It is also increasingly difficult to avoid the urbanization or development of potential flood zones. The fundamental issue involves determining the conditions necessary for efficient prevention by focusing on adaptability to risk, which implies coping with the risk of flooding rather than directly fighting against it or simply ignoring it. This second volume of the Floods series of books explores existing policies and tools which mitigate the impact of flooding: the construction of protective structures, the reduction of vulnerability, land use planning, the improvement of crisis management, etc. The closing chapters focus on the question of adaptation through post-flood reconstruction, integrating disaster risk reduction measures, e.g. through resilient urbanism.

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

  • 1st Edition
  • April 4, 2015
  • Franzi Korner-Nievergelt + 5 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 1 3 7 0 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 1 6 7 8 - 7
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data.Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.