Online Ecological And Environmental Data

Discover important Internet resources for research data made public individually and collectively by researchers from a variety of entities in the fields of environmental studies and ecology Online Ecological and Environmental Data explores innovative projects from a diverse array of institutions that have made environmental and ecological research information freely available online. You will find a wealth of Web site listings with URLs and complete descriptions, data field descriptions, controlled vocabulary examples, and Web screen shots that demonstrate how to use a specific site. The book will help you locate the data, procedures, instruments, notes, and other descriptive information that scientists and engineers need for replicating and building on the research of others. With Online Ecological and Environmental Data, you'll gain a better understanding of: * the cooperative design, development, and management of interdisciplinary data * cataloging multidisciplinary environmental data * data networking * new developments in information science and technology * extracting and compiling data * the convergence and dissemination of information via the Internet This unique resource explores the potential of distributing actual research data on the Web. The information you'll find in this book will enable science and technology librarians to provide effective access to library patrons. Online Ecological and Environmental Data will give librarians and other information specialists—as well as faculty and students in library sciences and technology—cutting-edge knowledge to meet the global data and information needs of the scientific community. The projects described in this book can serve as models for other disciplines, especially for the various aspects of handling data made available online, and for making this data more available and usable on the Internet for researchers and students.

Discover important Internet resources for research data made public individually and collectively by researchers from a variety of entities in the fields of environmental studies and ecology Online Ecological and Environmental Data explores innovative projects from a diverse array of institutions that have made environmental and ecological research information freely available online. You will find a wealth of Web site listings with URLs and complete descriptions, data field descriptions, controlled vocabulary examples, and Web screen shots that demonstrate how to use a specific site. The book will help you locate the data, procedures, instruments, notes, and other descriptive information that scientists and engineers need for replicating and building on the research of others. With Online Ecological and Environmental Data, you'll gain a better understanding of: * the cooperative design, development, and management of interdisciplinary data * cataloging multidisciplinary environmental data * data networking * new developments in information science and technology * extracting and compiling data * the convergence and dissemination of information via the Internet This unique resource explores the potential of distributing actual research data on the Web. The information you'll find in this book will enable science and technology librarians to provide effective access to library patrons. Online Ecological and Environmental Data will give librarians and other information specialists—as well as faculty and students in library sciences and technology—cutting-edge knowledge to meet the global data and information needs of the scientific community. The projects described in this book can serve as models for other disciplines, especially for the various aspects of handling data made available online, and for making this data more available and usable on the Internet for researchers and students.

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.

Discover important Internet resources for research data made public individually and collectively by researchers from a variety of entities in the fields of environmental studies and ecology Online Ecological and Environmental Data explores innovative projects from a diverse array of institutions that have made environmental and ecological research information freely available online. You will find a wealth of Web site listings with URLs and complete descriptions, data field descriptions, controlled vocabulary examples, and Web screen shots that demonstrate how to use a specific site. The book will help you locate the data, procedures, instruments, notes, and other descriptive information that scientists and engineers need for replicating and building on the research of others. With Online Ecological and Environmental Data, you'll gain a better understanding of: * the cooperative design, development, and management of interdisciplinary data * cataloging multidisciplinary environmental data * data networking * new developments in information science and technology * extracting and compiling data * the convergence and dissemination of information via the Internet This unique resource explores the potential of distributing actual research data on the Web. The information you'll find in this book will enable science and technology librarians to provide effective access to library patrons. Online Ecological and Environmental Data will give librarians and other information specialists—as well as faculty and students in library sciences and technology—cutting-edge knowledge to meet the global data and information needs of the scientific community. The projects described in this book can serve as models for other disciplines, especially for the various aspects of handling data made available online, and for making this data more available and usable on the Internet for researchers and students.

Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.

This book brings together high quality articles exploring the design, implementation, management, funding, promotion and evaluation of networked information systems that advocate sustainability and the protection of natural ecosystems. Case studies of deployed and planned information systems complement theoretical work on the methodological, technological and organizational foundations of environmental online communication.

Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data. Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers. It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements.

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. Features • Gives thorough consideration of the needs for environmental research in both spatial and temporal domains. • Features examples of applications involving field-collected data ranging from individual observations to data logging. • Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA. • Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors. • All examples and exercises make use of a GitHub package for functions and especially data.