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: Time series plot with fitted lines and the NOAA Global Climate at a Glance (1910-2015)
    sub title: average land temperatures in Europe
  title info:
    title: Learn about time series plots with fitted lines in SPSS with data from the NOAA Global Climate at a Glance (1910-2015)
  name:
    name part: Howard W. Odum Institute for Research in Social Science
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: statistics
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: This dataset example introduces researchers to plotting a time series for a single variable and fitting both a straight line and a non-linear curve to the data. This example plots time on the horizontal axis and values of the variable in question on the vertical axis. Fitting lines to a time series plot allows researchers to observe graphically any general trends or patterns in the data while de-emphasizing fluctuation around those trends. This example uses a subset of data from the United States National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance website. Understanding trends in global temperature will help researchers and policy makers better understand potential climate change and plan for its impact. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (http://www.ncdc.noaa.gov/cag/time-series/global).Direct Prerequisites: Time Series Plot, Simple Regression.
  target audience: specialized
  note: The Odum Institute.
  subject:
    geographic code: a------
  subject:
    name:
      name part: United States.
      name part: National Oceanic and Atmospheric Administration.
  subject:
    name:
      name part: United States.
      name part: National Oceanic and Atmospheric Administration.
  subject:
    topic: Time-series analysis
    topic: Data processing
    genre: Case studies
  subject:
    topic: Earth temperature
    geographic: Asia
    genre: Case studies
  subject:
    topic: Série chronologique
    topic: Informatique
    genre: Études de cas
  subject:
    topic: Géothermie
    geographic: Asie
    genre: Études de cas
  subject:
    topic: Earth temperature
  subject:
    topic: Time-series analysis
    topic: Data processing
  subject:
    geographic: Asia
  classification: QA280 .O35 2017
  classification: 519.55
  identifier: 9781473995406
  identifier: 147399540X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UAB
    record creation date: 170109
    record change date: 20240923170352.9
    record identifier: in00005494885
    language of cataloging:
      language term: eng