Next Article in Journal
The Socio-Spatial Distribution of Leisure Venues: A Case Study of Karaoke Bars in Nanjing, China
Previous Article in Journal
Unmanned Aerial Vehicles in Geomatics
Article Menu

Export Article

Open AccessCommunication

Defining Fitness-for-Use for Crowdsourced Points of Interest (POI)

Institute of Cartography and Geoinformation, ETH Zurich, Stefano-Franscini-Platz 5, Zurich 8093, Switzerland
Institute of Geography, University of Heidelberg, Im Neuenheimer Feld 368, Heidelberg 69120, Germany
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(9), 149;
Received: 1 June 2016 / Revised: 5 August 2016 / Accepted: 19 August 2016 / Published: 24 August 2016
PDF [774 KB, uploaded 24 August 2016]


(1) Background: Due to the advent of Volunteered Geographic Information (VGI), large datasets of user-generated Points of Interest (POI) are now available. As with all VGI, however, there is uncertainty concerning data quality and fitness-for-use. Currently, the task of evaluating fitness-for-use of POI is left to the data user, with no guidance framework being available which is why this research proposes a generic approach to choose appropriate measures for assessing fitness-for-use of crowdsourced POI for different tasks. (2) Methods: POI are related to the higher-level concept of geo-atoms in order to identify and distinguish their two basic functions, geo-referencing and object-referencing. Then, for each of these functions, suitable measures of positional and thematic quality are developed based on existing quality indicators. (3) Results: Typical use cases of POI are evaluated with regards to their use of the two basic functions of POI, and allocated appropriate measures for fitness-for-use. The general procedure is illustrated on a brief practical example. (4) Conclusion: This research addresses the issue of fitness-for-use of POI on a higher conceptual level by relating it to more fundamental notions of geographical information representation. The results are expected to assist users of crowdsourced POI datasets in determining an appropriate method to evaluate fitness-for-use. View Full-Text
Keywords: VGI; data quality; points of interest; fitness-for-use VGI; data quality; points of interest; fitness-for-use

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Jonietz, D.; Zipf, A. Defining Fitness-for-Use for Crowdsourced Points of Interest (POI). ISPRS Int. J. Geo-Inf. 2016, 5, 149.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top