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The papers in this book represent a multidiscipline sampling of Bayesian statistical applications. Maximum entropy allows one to accurately create high-dimensional data models and eliminate spurious assumptions, producing easily understood results.

Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial, available at the author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.h...

Traditionally experimentation has been understood as an activity performed within the laboratory, but in the twenty-first century this view is being challenged. Schwarz uses ecological and environmental case studies to show how scientific experiments can transcend the laboratory.

The focus in this book is on the first step of the scientific method. Readers will learn how to identify a topic that interests them and to narrow it down to a more specific question that they want to answer. They will learn how to make scientific observations, form scientific questions, conduct research, sort evidence and how to put all of these elements together to reach a hypothesis for a science project.

Thermal Imaging Techniques to Survey and Monitor Animals in the Wild: A Methodology provides a manual for anyone interested in understanding thermal imaging and its usefulness in solving a wide range of problems regarding the observation of wildlife. In the last decade, the cost of thermal imaging technology has significantly decreased, making the equipment more widely available. This book offers an overview of thermal physics and the thermal imager, along with a methodology to optimize the w...

Popular science readers embrace epics the sweeping stories that claim to tell the history of all the universe, from the cosmological to the biological to the social. And the appeal is understandable: in writing these works, authors such as E. O. Wilson or Steven Weinberg deliberately seek to move beyond particular disciplines, to create a compelling story weaving together natural historical events, scientific endeavor, human discovery, and contemporary existential concerns. In A Final Story, Nas...

Computational Radon Transport Mechanisms considers various mathematical modeling techniques for understanding radon transport mechanisms across various mediums, including soil, concrete and water. Clearly organized by types of problems, including steady and unsteady states, inverse problems, and uncertainty, the book provides clear solutions to understanding and analyzing radon transport mechanisms. In addition, the book considers recent advances that have proposed different analytical, semi-ana...

For those who will read this book, it will be obvious why to engage in scientific education of talented students as early as possible to develop the critical minds or scientific method judgments. There are multitudes of initiatives all around the world; and the number of these programs are steadily increasing. However, most of these initiatives are local programs connected to one or two motivated teachers or professors. They work in isolation, often struggling with the lack of resources and stay...

Undergraduate and first-year graduate students engaging in engineering research need more than technical skills and tools to be successful. From finding a research position and funding, to getting the mentoring needed to be successful while conducting research responsibly, to learning how to do the other aspects of research associated with project management and communication, this book provides novice researchers with the guidance they need to begin developing mastery. Awareness and deeper und...

Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation’s big dat...

Focusing on resource awareness in field-programmable gate array (FPGA) design, Applications of Field-Programmable Gate Arrays in Scientific Research covers the principle of FPGAs and their functionality. It explores a host of applications, ranging from small one-chip laboratory systems to large-scale applications in "big science." The book first describes various FPGA resources, including logic elements, RAM, multipliers, microprocessors, and content-addressable memory. It then presents princi...