Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Applications of Big Spatial Data: Health

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_72-1

Definitions

The term “big spatial data” encompasses all types of big data with the addition of geographic reference information, typically a location associated with a point in space (e.g., latitude, longitude, and altitude coordinates), an area (e.g., a country, a district, or a census enumeration zone), a line or curve (e.g., a river or a road), or a pixel (e.g., high-resolution satellite images or a biomedical imaging scan). When applied to questions of health, big spatial data can aid in attempts to understand geographic variations in the risks and rates of disease (e.g., is risk here greater than risk there?), to identify local factors driving geographic variations in risks and rates (e.g., does local nutritional status impact local childhood mortality?), and to evaluate the impact of local health policies (e.g., district-specific adjustments to insurance reimbursements).

In addition to defining big spatial data, it is also important to define what is meant by “health.” The World...

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Biostatistics and BioinformaticsRollins School of Public Health, Emory UniversityAtlantaUSA

Section editors and affiliations

  • Timos Sellis
    • 1
  • Aamir Cheema
  1. 1.Data Science Research InstituteSwinburne University of TechnologyMelbourneAustralia