Data Statistics And Useful Numbers For Environmental Sustainability

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. Collects and presents important environmental data in one accessible resource Provides key information needed for effectively communicating environmental and sustainability issues Offers a clear index Includes detailed tables throughout for ease of access

Future Proteins: Sources, Processing, Applications and the Bioeconomy presents sources of alternative proteins and the novel processing technologies associated with these new proteins, including their vast food and non-food applications and their contributions to the circular economy that ties them together. Broken into three sections, chapters focus on alternative proteins including cereals, legumes and pulses, fungi, seafoods, insects, and others before assessing novel production technologies and alternative protein applications. Through the use of content features, specifically definitions, case studies, recent developments, data, and methods, this reference assists readers in understanding how to apply current knowledge and techniques to their research. This book is intended for any stakeholders involved in the alternative protein industry as it provides a clear and comprehensive review of the industry. It will be of interest to food scientists, technologists, food industry personnel, academics and graduate students researching this and related topics. Discusses the various industrial applications of the proposed proteins, from powdered algal for the nutraceuticals market to insect pastas and bacterial-protein flour Provides a comprehensive overview of recent advances on the identification of potentially important compounds in these alternative proteins Outlines advances in proteins characterization, processing and purification techniques Focuses on biologically active proteins and their beneficial impact on humans Addresses implications for legislation that forward novel foods

"Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher.

This publication presents leading environmental indicators from the OECD Core Set and thus contributes to measuring environmental performance and progress towards sustainable development.

Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

Using Statistics to Understand the Environment covers all the basic tests required for environmental practicals and projects and points the way to the more advanced techniques that may be needed in more complex research designs. Following an introduction to project design, the book covers methods to describe data, to examine differences between samples, and to identify relationships and associations between variables. Featuring: worked examples covering a wide range of environmental topics, drawings and icons, chapter summaries, a glossary of statistical terms and a further reading section, this book focuses on the needs of the researcher rather than on the mathematics behind the tests.

Environmental statistics is a rapidly growing discipline that is important not only as a division of professional and academic statistics, but also in the accumulation of data on environmental effects and in the formulation of environmental policy by government agencies. This book features contributions from policy makers, scientists actively involved in collection of data, and professional, academic and government statisticians. These explore the interfaces between the different areas of application of environmental statistics and consider the future applications of methods arising from this discipline. Some of the chapters deal specifically with environmental models and methods. Here, the contributors explain specialized statistical techniques that have been developed for analysing environmental data and mathematical models that have been applied to the problem of integrating large amounts of environmental data into a coherent picture of particular environmental systems. Several of the contributions deal specifically with the problems involved in co-ordinating data collection over large geographical areas and over many dimensions of measurement. Finally, the book discusses the problems of formulating specific environmental policies given the nature of the information that has been made available using environmental statistical methods.

Uses statistics on water, forests, air, and atmosphere to show the relationship of economic development to the quality of the environment in countries with populations of more than one million.