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My name is Marco Minghini. I studied at Politecnico di Milano where I got a BSc in Environmental Engineering in 2008, an MSc in Environmental and Geomatics Engineering in 2010 and a PhD in Environmental and Infrastructures Engineering (Geomatics curriculum) in 2014. Since then I work as a Postdoctoral Research Fellow at the GEOlab of Politecnico di Milano - Como Campus, where my research is in the field of GIS and includes topics such as Volunteered Geographic Information (VGI), Citizen Science and geo-visualization.

All my research is done using open source software. I am a Charter Member of the Open Source Geospatial Foundation (OSGeo), the Secretary of ISPRS WG IV/4 "Collaborative Crowdsourced Cloud Mapping (C³M)" and I was the Secretary and main organizer of the FOSS4G Europe 2015 conference which took place in Como. OpenStreetMap is not just part of my research work, but also my free time. I love mapping, I love speaking and teaching about OSM and even more I love organizing mapping events. In late 2016 I helped in the foundation of PoliMappers, the first European chapter of the YouthMappers worldwide network of university students. I am currently the mentor of PoliMappers. In February 2017 I became a Voting Member of the Humanitarian OpenStreetMap Team (HOT).

Mapping Events

Scientific papers on OpenStreetMap

  • Fonte C.C., Patriarca J., Minghini M., Antoniou V., See L. and Brovelli M.A. (2017) Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application. In: Campelo C., Bertolotto M. and Corcoran P. (Eds) Volunteered Geographic Information and the Future of Geospatial Data. IGI Global, 113-137, ISBN 9781522524465. doi:10.4018/978-1-5225-2446-5.ch007 [web page]
  • Lupia F., Minghini M., Napolitano M., Palmas A. and Sarretta A. (2016) VGI ed emergenze. GEOmedia 5-2016, 26-30, ISSN 1128-8132 [pdf]
  • Davidovic N., Mooney P., Stoimenov L. and Minghini M. (2016) Tagging in Volunteered Geographic Information: An Analysis of Tagging Practices for Cities and Urban Regions in OpenStreetMap. ISPRS International Journal of Geo-Information 5(12), 232. doi:10.3390/ijgi5120232 [pdf]
  • Ebrahim M., Minghini M., Molinari M.E. and Torrebruno A. (2016) MiniMapathon – Mapping the world at 10 years old. Proceedings of EDULEARN16, 4200-4208, Barcelona (Spain), July 4-6, 2016, ISSN 2340-1117. doi:10.21125/edulearn.2016.2018 [web page]
  • Brovelli M.A., Minghini M., Molinari M.E. and Zamboni G. (2016) Positional accuracy assessment of the OpenStreetMap buildings layer through automatic homologous pairs detection: the method and a case study. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XLI-B7, 919-925. doi:10.5194/isprsarchives-XLI-B7-919-2016 [pdf]
  • Brovelli M.A., Minghini M. and Molinari M.E. (2016) An automated GRASS-based procedure to assess the geometrical accuracy of the OpenStreetMap Paris road network. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XLI-B2, 609-614. doi:10.5194/isprsarchives-XLI-B2-609-2016 [pdf]
  • Fonte C.C., Minghini M., Antoniou V., See L., Patriarca J., Brovelli M.A. and Milcinski G. (2016) An automated methodology for converting OSM data into a Land Use/Cover map. Proceedings of the 6th International Conference on Cartography & GIS, Vol. 1, 462-473, Albena (Bulgaria), June 13-17, 2016, Bulgarian CartographicAssociation, ISSN 1314-0604 [pdf]
  • Ebrahim M., Minghini M., Molinari M.E. and Torrebruno A. (2016). MiniMapathon: mappare il mondo a 10 anni. Proceedings of DIDAMATICA 2016, Udine (Italy), April 19-21, 2016 [pdf]
  • Brovelli M.A., Minghini M., Molinari M. and Mooney P. (2016) Towards an automated comparison of OpenStreetMap with authoritative road datasets. Transactions in GIS. doi:10.1111/tgis.12182 [pdf]
  • Mooney P., Minghini M. and Stanley-Jones F. (2015) Observations on an OpenStreetMap mapping party organised as a social event during an open source GIS conference. International Journal of Spatial Data Infrastructures Research 10, 138-150. doi:10.2902/1725-0463.2015.10.art7 [pdf]
  • Antunes F., Fonte C. C., Brovelli M.A., Minghini M., Molinari M.E. and Mooney P. (2015) Assessing OSM Road Positional Quality with Authoritative Data. Proceedings of the VIII Conferência Nacional de Cartografia e Geodesia, Lisbon (Portugal), October 29-30, 2015, ISBN 978-989-8152-10-7 [pdf]
  • Brovelli M.A., Minghini M., Molinari M. and Mooney P. (2015) A FOSS4G-based procedure to compare OpenStreetMap and authoritative road network datasets. Geomatics Workbooks 12, pp. 235-238, ISSN 1591-092X [pdf]

Presentations on OpenStreetMap

  • 2016-10-14 Building Land Use/Land Cover maps from OpenStreetMap. Mapping, Sensing, and Crowdsourcing Geographic Information, London (UK), October 13-14, 2016 [pdf]
  • 2016-05-21 MiniMapathon: mapping the world at 10 years old. OSMit 2016, Milan (Italy), May 20-21, 2016 [pdf]
  • 2016-05-20 OpenStreetMap data quality: experimentations and results on Milan City. OSMit 2016, Milan (Italy), May 20-21, 2016 [pdf]
  • 2016-05-05 How to organize and run your own OSM humanitarian mapathon. GeoForAll webinar [pdf, video]
  • 2016-02-26 OpenStreetMap (OSM) and the Humanitarian OpenStreetMap Team (HOT). Seminar at the high school ISISS Sant'Elia, Como (Italy) [pdf]
  • 2016-02-12 Una procedura GRASS automatica per il confronto tra reti stradali ufficiali e da OpenStreetMap. XVII Meeting degli Utenti Italiani di GRASS e GFOSS, Parma (Italy), February 11-12, 2016 [pdf]
  • 2015-12-04 A GRASS-based procedure to compare OSM and IGN Paris road network datasets. WG2 Meeting of EU COST Action IC1203 ENERGIC, Paris (France), December 3-4, 2015 [pdf]
  • 2015-07-17 A FOSS4G-based procedure to compare OpenStreetMap and authoritative road network datasets. FOSS4G Europe 2015, Como (Italy), July 14-17, 2015 [pdf]

Applications developed

  • A set of Python modules for GRASS GIS to compare OpenStreetMap against authoritative road network datasets. The scripts allow users to perform customized analysis to evaluate the completeness and geometrical accuracy of the OSM road dataset using any (user-provided) reference dataset. This is an ongoing work. The most up-to-date version of the code is available here, while a Web Processing Service exposing the procedure (currently only Step 1 of 3) is available here.