Point of interest to region of interest conversion

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

5 Citations (Scopus)

Abstract

Trajectories of people contain a vast amount of information on users' interests and popularity of locations. To obtain this information, the places visited by the owner of the device on such a trajectory need to be recognized. However, the location information on a point of interest (POI) in a database is normally limited to an address and a coordinate pair, rather than a polygon describing its boundaries. A region of interest can be used to intersect trajectories to match trajectories with objects of interest. In the absence of expensive and often not publicly available detailed spatial data like cadastral data, we need to approximate this ROI. In this paper, we present several approaches to approximate the size and shape of ROIs, by integrating data from multiple public sources, a validation technique, and a validation of these approaches against the cadastral data of the city of Enschede, The Netherlands.
Original languageEnglish
Title of host publicationSIGSPATIAL'13
Subtitle of host publicationProceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages388-391
Number of pages4
ISBN (Print)978-1-4503-2521-9
DOIs
Publication statusPublished - Nov 2013
Event21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013 - Orlando, United States
Duration: 5 Nov 20138 Nov 2013
Conference number: 21

Conference

Conference21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013
Abbreviated titleGIS
CountryUnited States
CityOrlando
Period5/11/138/11/13

Keywords

  • EWI-23687
  • Spatial data mining
  • IR-87442
  • METIS-300008
  • GPS trajectories

Fingerprint Dive into the research topics of 'Point of interest to region of interest conversion'. Together they form a unique fingerprint.

  • Cite this

    de Graaff, V., de By, R. A., van Keulen, M., & Flokstra, J. (2013). Point of interest to region of interest conversion. In SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 388-391). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2525314.2525442