IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v9y2017i2p15-d96459.html
   My bibliography  Save this article

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Author

Listed:
  • Sukhjit Singh Sehra

    (Department of Research, Innovation & Consultancy, I.K. Gujral Punjab Technical University, Jalandhar, Punjab 144603, India
    Department of Computer Science & Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India)

  • Jaiteg Singh

    (School of Computer Sciences, Chitkara University, Patiala, Punjab 140401, India)

  • Hardeep Singh Rai

    (Department of Civil Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India)

Abstract

OpenStreetMap (OSM) is a recent emerging area in computational science. There are several unexplored issues in the quality assessment of OSM. Firstly, researchers are using various established assessment methods by comparing OSM with authoritative dataset. However, these methods are unsuitable to assess OSM data quality in the case of the non-availability of authoritative data. In such a scenario, the intrinsic quality indicators can be used to assess the quality. Secondly, a framework for data assessment specific to different geographic information system (GIS) domains is not available. In this light, the current study presents an extension of the Quantum GIS (QGIS) processing toolbox by using existing functionalities and writing new scripts to handle spatial data. This would enable researchers to assess the completeness of spatial data using intrinsic indicators. The study also proposed a heuristic approach to test the road navigability of OSM data. The developed models are applied on Punjab (India) OSM data. The results suggest that the OSM project in Punjab (India) is progressing at a slow peace, and contributors’ motivation is required to enhance the fitness of data. It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region.

Suggested Citation

  • Sukhjit Singh Sehra & Jaiteg Singh & Hardeep Singh Rai, 2017. "Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox," Future Internet, MDPI, vol. 9(2), pages 1-22, April.
    • Handle: RePEc:gam:jftint:v:9:y:2017:i:2:p:15-:d:96459
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/9/2/15/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/9/2/15/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marco Minghini & Alessandro Sarretta & Maurizio Napolitano, 2022. "OpenStreetMap Contribution to Local Data Ecosystems in COVID-19 Times: Experiences and Reflections from the Italian Case," Data, MDPI, vol. 7(4), pages 1-21, March.
    2. Karol Król & Dariusz Zdonek, 2020. "Aggregated Indices in Website Quality Assessment," Future Internet, MDPI, vol. 12(4), pages 1-23, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:9:y:2017:i:2:p:15-:d:96459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.