OSM POI Analyser

Analytical GeoData | Spatial Association Rules | Positional Plausibility

This analytical tool provides metrics and recommendations for positional plausibility of POIs in OpenStreetMap. The analystical techique is based on spatial association rule mining and conexistence patterns. To begin, choose the analytical method, one sample city and POI object. Then zoom in and click on map to start the process.

Our Team

OSM POI Analyzer is managed by a team of academics at University of Melbourne and University of Umeå. Please do not hesitate to get in touch with us if you have interests in this project.

Alireza Kashian (Project Lead)
Phd. Student
Center For Disaster Management and Public Safety
University of Melbourne, Australia
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Email: alireza.kashian [at] unimelb.edu.au
Twitter: alireza_kashian
Prof. Abbas Rajabifard (Project Supervisor)
Professor
Head of Department , Infrastructure Engineering
Director, Centre for Spatial Data Infrastructure & Land Administration
University of Melbourne, Australia
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Email: abbas.r [at] unimelb.edu.au
Dr. Yiqun Chen (Project Investigator)
Research Fellow
Center For Disaster Management and Public Safety
University of Melbourne, Australia
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Email: yiqun.c [at] unimelb.edu.au

Dr. Kai-Florian Richter (Project Supervisor)
Associate Professor
Department of Computing Science, University of Umeå, Sweden
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Email: kfr [at] kfrichter.org