Translating Diverse Environmental Data into Reliable Information

How to Coordinate Evidence from Different Sources

Nonfiction, Science & Nature, Science, Biological Sciences, Environmental Science, Mathematics, Nature
Cover of the book Translating Diverse Environmental Data into Reliable Information by Daniel A. Vallero, Elsevier Science
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Author: Daniel A. Vallero ISBN: 9780128124475
Publisher: Elsevier Science Publication: September 15, 2017
Imprint: Academic Press Language: English
Author: Daniel A. Vallero
ISBN: 9780128124475
Publisher: Elsevier Science
Publication: September 15, 2017
Imprint: Academic Press
Language: English

Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

  • Provides tools to manage data of varying sizes and quality
  • Identifies both opportunities and cautions in using “other people’s data”
  • Updates physical, chemical and biological factors that must be considered in risk evaluations and life cycle assessments
  • Applies to data collected by academic, governmental, businesses, and citizen scientists across environmental systems
  • Improves readers’ ability to organize and visualize their work in the age of Big Data
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

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