View in EDS PDF Full Text

Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities.

Saved in:
Bibliographic Details
Title: Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities.
Authors: Ajayakumar, Jayakrishnan1, jxa421@case.edu, Shook, Eric2
Source: International Journal of Geographical Information Science; Sep2020, Vol. 34 Issue 9, p1683-1707, 25p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 145036144
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ajayakumar%2C+Jayakrishnan%22">Ajayakumar, Jayakrishnan</searchLink><relatesTo>1</relatesTo>, <i>jxa421@case.edu</i><br /><searchLink fieldCode="AU" term="%22Shook%2C+Eric%22">Shook, Eric</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Sep2020, Vol. 34 Issue 9, p1683-1707, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=145036144
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13658816.2020.1732393
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1683
    Titles:
      – TitleFull: Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ajayakumar, Jayakrishnan
      – PersonEntity:
          Name:
            NameFull: Shook, Eric
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 13658816
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: International Journal of Geographical Information Science
              Type: main
ResultId 1