rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Multivariate Time Series Analysis in Climate and Environmental Research
  name:
    name part: Zhang, Zhihua.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 287 p. 7 illus., 3 illus. in color. online resource.
  abstract: This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics. .
  table of contents: Multivariate Harmonic Analysis -- Multivariate Wavelets and Framelits -- Artificial Neural Networks -- Stochastic Modeling and Optimization -- Spectral Analysis -- Global Climate Change -- Regional Climate Change -- Ecosystem and Carbon Cycle -- Paleoclimate -- Strategies for climate change mitigation.
  note: by Zhihua Zhang.
  subject:
    topic: Climate change
  subject:
    topic: Physical geography
  subject:
    topic: Oceanography
  subject:
    topic: Ecology
  subject:
    topic: Statistics
  subject:
    topic: Climate Change
  subject:
    topic: Physical Geography
  subject:
    topic: Oceanography
  subject:
    topic: Ecology
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: QC902.8-903.2
  classification: 577.27
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319673400
  identifier: https://doi.org/10.1007/978-3-319-67340-0
  record info:
    record creation date: 171110
    record change date: 20191028224243.0
    record identifier: 978-3-319-67340-0