Quantitative Methods In Environmental And Climate Research
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Quantitative Methods in Environmental and Climate Research
This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data.
Routledge Handbook of Climate Change and Society
Author: Steven R. Brechin
language: en
Publisher: Taylor & Francis
Release Date: 2024-12-27
Routledge Handbook of Climate Change and Society is a comprehensive guide that provides insights into the multifaceted relationship between climate change and society and covers a wide array of topics, disciplines, and cultures, from the latest trends in weather patterns to the issue of climate (in)justice. The second edition, which is overwhelmingly comprised of all-new essays, is an indispensable resource for those interested in understanding the complexities of climate change and its societal implications. The book contains seven thematically organized sections examining the various aspects of climate change and its intersection with our society: Climate Change in the Natural and Social Sciences; Human Population, Movement, and Health; Economics, Energy, and Consumption; Urban Climate Resiliency; Technological Innovations and Pitfalls; Gender, Poverty, and Justice; and Politics and Governance. Each part provides a unique and important perspective for understanding the challenges as well as opportunities presented by climate change. Through original research findings and critical analysis, this book sheds light on the urgent need for interdisciplinary approaches to tackle climate change effectively. By examining the intersectionality of climate change with various social, economic, and political factors, it offers valuable insights for researchers, policymakers, activists, and anyone concerned about the future of our planet. With a forward-looking perspective that emphasizes optimism and resilience, this book serves as a tool for fostering hope and collective action in the face of climate change challenges.
Quantitative Methods for ESG Finance
A quantitative analyst’s introduction to the theory and practice of ESG finance In Quantitative Methods for ESG Finance, accomplished risk and ESG experts Dr. Cyril Shmatov and Cino Robin Castelli deliver an incisive and essential introduction to the quantitative basis of ESG finance from a quantitative analyst’s perspective. The book combines the theoretical and mathematical bases underlying risk factor investing and risk management with accessible discussions of ESG applications. The authors explore the increasing availability of non-traditional data sources for quantitative analysts and describe the quantitative/statistical techniques they’ll need to make practical use of these data. The book also offers: A particular emphasis on climate change and climate risks, both due to its increasing general importance and accelerating regulatory change in the space Practical code examples in a Python Jupyter notebook that use publicly available data to demonstrate the techniques discussed in the book Expansive discussions of risk factor investing, portfolio construction, ESG scoring, new ESG-driven financial products, and new financial risk management applications, particularly those making use of the proliferation of “alternative data”, both text and images A must-read guide for quantitative analysts, investment managers, financial risk managers, investment bankers, and other finance professionals with an interest in ESG-driven investing, Quantitative Methods for ESG Finance will also earn a place on the bookshelves of graduate students of business and finance.