Statistics And Data Visualization In Climate With R And Python
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Statistics and Data Visualization in Climate Science with R and Python
Author: Samuel S. P. Shen
language: en
Publisher: Cambridge University Press
Release Date: 2023-11-30
A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.
Statistics and Data Visualization in Climate Science with R and Python
Author: Samual S. P. Shen
language: en
Publisher: Cambridge University Press
Release Date: 2023-11-30
A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.
Parks and Climate
Parks and Climate examines the profound effects of climate change on national parks and explores adaptive management strategies for their preservation. As iconic representations of natural heritage, these parks serve as bellwethers of broader environmental change, offering insights into global ecological shifts. The book delves into how rising temperatures, altered precipitation patterns, and extreme weather events are reshaping park ecosystems, impacting everything from glacial melt in mountain parks to shifts in species distribution. The book investigates the vulnerabilities of diverse park environments and presents adaptive techniques, such as habitat restoration and species translocation, essential for protecting park resources. It highlights the need for a shift from reactive conservation to proactive adaptation, emphasizing the importance of scientific understanding in mitigating climate change's adverse effects. The book progresses by first establishing the fundamental relationship between climate and park ecosystems, then explores specific climate change impacts. Ultimately, this book offers a solutions-oriented framework, combining scientific analysis with practical management recommendations for protecting national parks in a rapidly changing world. It emphasizes the intersection of environmental science, environmental policy, and geography and highlights the importance of integrating conservation with community development and sustainable tourism.