Login / Signup

IPUMS-Terra: Integrated Big Heterogeneous Spatio-Temporal Data Analysis System.

David HaynesAlex JokelaSteven Manson
Published in: Journal of geographical systems (2018)
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 GI-Scientists 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 use general use of the scientific community.
Keyphrases
  • big data
  • electronic health record
  • data analysis
  • healthcare
  • mental health
  • artificial intelligence
  • machine learning
  • health information
  • social media
  • quality improvement
  • minimally invasive
  • rna seq