An open source framework to add spatial extent and geospatial visibility to Big Data

Biva Shrestha, Ranjeet Devarakonda, Giriprakash Palanisamy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Advancement in the field of computing and remote handheld devices has made the process of collecting geospatial data easy. Most of the time researchers and scientists have easy access to these data as well. However, the process of extracting and processing a large volume of data from several sources can be very time consuming and difficult. In most cases scientists rely on expensive proprietary software [1]. This paper discusses how Computational Scientists at Oak Ridge National Laboratory are extracting, normalizing, and processing millions of geospatial data points from multiple data sources and integrating them into a common data format which helps user to find and access these data using a flexible visualization-based user interface.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014
EditorsJimmy Lin, Jian Pei, Xiaohua Tony Hu, Wo Chang, Raghunath Nambiar, Charu Aggarwal, Nick Cercone, Vasant Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-66
Number of pages3
ISBN (Electronic)9781479956654
DOIs
StatePublished - 2014
Event2nd IEEE International Conference on Big Data, IEEE Big Data 2014 - Washington, United States
Duration: Oct 27 2014Oct 30 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Conference

Conference2nd IEEE International Conference on Big Data, IEEE Big Data 2014
Country/TerritoryUnited States
CityWashington
Period10/27/1410/30/14

Keywords

  • BISON
  • Big data
  • Biodiversity data
  • GBIF
  • Geospatial search

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