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IPUMS-Terra: integrated big heterogeneous spatiotemporal data analysis system

Author

Listed:
  • David Haynes

    (Program in Health Disparities)

  • Alex Jokela

    (University of Minnesota)

  • Steven Manson

    (University of Minnesota)

Abstract

Big Geo Data promises tremendous benefits to the GIS Science community in particular and the broader scientific community in general, but has been primarily of use to the relatively small body of GIScientists who possess the specialized knowledge and methods necessary for working with this class of data. Much of the greater scientific community is not equipped with the expert knowledge and techniques necessary to fully take advantage of the promise of big spatial data. IPUMS-Terra provides integrated spatiotemporal data to these scholars by simplifying access to thousands of raster and vector datasets, integrating them and providing them in formats that are useable to a broad array of research disciplines. IPUMS-Terra exemplifies a new class of National Spatial Data Infrastructure because it connects a large spatial data repository to advanced computational resources, allowing users to access the needle of information they need from the haystack of big spatial data. The project is trailblazing in its commitment to the open sharing of spatial data and spatial tool development, including describing its architecture, process development workflows, and openly sharing its products for the general use of the scientific community.

Suggested Citation

  • David Haynes & Alex Jokela & Steven Manson, 2018. "IPUMS-Terra: integrated big heterogeneous spatiotemporal data analysis system," Journal of Geographical Systems, Springer, vol. 20(4), pages 343-361, October.
    • Handle: RePEc:kap:jgeosy:v:20:y:2018:i:4:d:10.1007_s10109-018-0277-2
    DOI: 10.1007/s10109-018-0277-2
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    Cited by:

    1. Qing Luo & Daniel A. Griffith & Huayi Wu, 2019. "Spatial autocorrelation for massive spatial data: verification of efficiency and statistical power asymptotics," Journal of Geographical Systems, Springer, vol. 21(2), pages 237-269, June.

    More about this item

    Keywords

    IPUMS-Terra; Spatial–temporal data; Spatiotemporal analysis; Spatial data infrastructure;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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