Pursuing spatiotemporally integrated social science using cyberinfrastructure

Xinyue Ye, Xuan Shi

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

The rich details of space-time complexity in social science remain largely unexplored because of the challenge of intensities of data and computing. The current space-time simulation and statistics for social science research can only deal with a limited amount of data. We introduce a pilot study about how to deploy the modern accelerator technology and hybrid computer systems to extend the National Institute of Justice-funded Near-repeat calculation, a typical social science application? This pilot study demonstrates that it is promising to leverage high performance computing for solving large-scale space-time interaction problems, which has long been a challenging statistical issue for spatiotemporally integrated social science.

Original languageEnglish (US)
Title of host publicationModern accelerator technologies for geographic information science
PublisherSpringer US
Pages215-226
Number of pages12
Volume9781461487456
ISBN (Electronic)9781461487456
ISBN (Print)1461487447, 9781461487449
DOIs
StatePublished - Aug 1 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Keywords

  • High performance computing
  • Near-repeat
  • Social science
  • Space-time complexity
  • Spatiotemporally integrated social science

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