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Data analysis and statistics for geography, environmental science, and engineering
This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applied to a variety of geographical and environmental models. Theory is accompanied by practical hands-on computer exercises, progressing from easy to difficult. The text also presents a review of mathematical methods, making the book self-contained.
eBook
Environmental Data Analysis
Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields.
Contents:
Preface
Time series analysis
Chaos and dynamical systems
Approximation
Interpolation
Statistical methods
Numerical methods
Optimization
Data envelopment analysis
Risk assessments
Life cycle assessments
Index
eBook
Environmental data analysis with MatLab
Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial.Well written and outlines a clear learning path for researchers and studentsUses real world environmental examples and case studiesMatLab software for application in a readily-available software environmentHomework problems help user follow up upon case studies with homework that expands them
eBook
Practical Environmental Statistics and Data Analysis
Most environmental problems involve a large degree of uncertainty, and one way to improve understanding of the issues affecting the global environment is the use of statistics. This book describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems. The book provides a perspective on how environmental professionals are practicing statistics in areas such as environmental forensics, ecological populations, environmental policy-making, groundwater monitoring networks, transport in environmental systems, and water quality monitoring. A section containing figures in full colour illustrates the topics discussed. The pitfalls of common statistical methods are also included to assist practitioners. With chapters contributed by international experts with backgrounds in academia, industry and government agencies, this book is required reading for environmental decision-makers, planners and regulators, as well as academics and professionals in environmental science, engineering and mathematics.
eBook
Preliminary Principles and Guidelines for Archiving Environmental and Geospatial Data at NOAA
The National Oceanic and Atmospheric Administration (NOAA) collects and manages a wide range of environmental and geospatial data to fulfill its mission requirements-data that stretch from the surface of the sun to the core of the earth, and affect every aspect of society. With limited resources and enormous growth in data volumes, NOAA asked the National Academies for advice on how to archive and provide access to these data. This book offers preliminary principles and guidelines that NOAA and its partners can use to begin planning specific archiving strategies for the data streams they currently collect. For example, the book concludes that the decision to archive environmental or geospatial data should be driven by its current or future value to society, and that funding for environmental and geospatial measurements should include sufficient resources to archive and provide access to the data these efforts generate. The preliminary principles and guidelines proposed in this book will be refined and expanded to cover data access issues in a final book expected to be released in 2007.
eBook
Best Practices in Port Environmental Data Management
Our current information on intra-port water quality will be shaken up by the growth of open science and the ecological transition. Open data follow the FAIR principles (Findability, Accessibility, Interoperability and Reuse) and the transformation of ports requires pollution assessment tools that work alongside the green and digital transitions, but also elevate the conservation of biodiversity in our seas and oceans.Sentinel species in ports, such as mussels, oysters, limpets and urchins, allow us to biomonitor trace elements and heavy metals, as well as cathodic, organic and inorganic pollutants. The ecotoxicological variables and physico-chemical parameters in the coastal waters of the Atlantic Ocean (Pertuis Charentais) and the Mediterranean Sea (Corsica) allow us to use the WIBE (Water Interdisciplinary Biology and Ecology) Information System.State sovereignty is an important aspect of this study, as it encompasses their knowledge of the water quality of their harbors and the pathways towards open data for end-users. Oceanic, coastal and port environments are high on the agenda for both international and national organizations and local stakeholders.This book, focusing on the tools available for studying port water quality, emphasizes how science has multidisciplinary effects on society.
eBook
The Nature of Data
When we look at some of the most pressing issues in environmental
politics today, it is hard to avoid data technologies. Big data,
artificial intelligence, and data dashboards all promise
\"revolutionary\" advances in the speed and scale at which
governments, corporations, conservationists, and even individuals
can respond to environmental challenges. By bringing together
scholars from geography, anthropology, science and technology
studies, and ecology, The Nature of Data explores how the
digital realm is a significant site in which environmental politics
are waged. This collection as a whole makes the argument that we
cannot fully understand the current conjuncture in critical, global
environmental politics without understanding the role of data
platforms, devices, standards, and institutions. In particular,
The Nature of Data addresses the contested practices of
making and maintaining data infrastructure, the imaginaries
produced by data infrastructures, the relations between state and
civil society that data infrastructure reworks, and the conditions
under which technology can further socio-ecological justice instead
of re-entrenching state and capitalist power. This innovative
volume presents some of the first research in this new but rapidly
growing subfield that addresses the role of data infrastructures in
critical environmental politics.
eBook