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Big Data Solutions to Interpreting Complex Systems in the Environment

  • Hongmei ChiEmail author
  • Sharmini Pitter
  • Nan Li
  • Haiyan Tian
Chapter
Part of the Studies in Big Data book series (SBD, volume 26)

Abstract

The amount of relevant published data sets available in the environmental sciences is rapidly increasing in recent years. For example, the National Oceanic and Atmospheric Administration (NOAA) has published vast data resources and tremendous volumes of high quality environmental data. Analyzing those data sets poses unprecedented challenges and opportunities to environmental scientists. The goal of this chapter is to present a practical investigation of big data tools that can be used to analyze environmental data sets and provide environmental information to decision makers in the political and non-profit spheres. Throughout this chapter, we will provide examples of the uses of big data analysis in assessing environmental impact and change in real-time in hopes of initiating discussion towards benchmarking key features and considerations of big data techniques.

Keywords

Data analysis RapidMiner Hurricane dataset Environmental microbiology Environmental datasets Remote sensing data Sensor network 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Hongmei Chi
    • 1
    Email author
  • Sharmini Pitter
    • 1
  • Nan Li
    • 2
  • Haiyan Tian
    • 3
  1. 1.Florida A&M UniversityTallahasseeUSA
  2. 2.Guangxi Teachers Education UniversityNanningChina
  3. 3.University of Southern MississippiHattiesburgUSA

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