10% de desconto

Translating Diverse Environmental Data Into Reliable Information eBook

How To Coordinate Evidence From Different Sources

de Daniel A. Vallero
idioma: inglês
Editor: ELSEVIER SCIENCE, setembro de 2017 ‧
131,11€
10% DESCONTO CARTÃO
DISPONIBILIDADE IMEDIATA
Ebook para ADE
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

Translating Diverse Environmental Data Into Reliable Information

How To Coordinate Evidence From Different Sources

de Daniel A. Vallero

Propriedade Descrição
ISBN: 9780128124475
Editor: ELSEVIER SCIENCE
Data de Lançamento: setembro de 2017
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
EAN: 9780128124475
Acessibilidade: Ver características de acessibilidade indicadas pelo editor