User:Mingo23

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Tux.svg Mingo23 uses a Linux-based computer.
JOSM Mingo23 submits data to OpenStreetMap using JOSM.
Flag of Italy.svg This user hails from Italy

Bio

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, where my research is in the field of GIS and includes topics such as Volunteered Geographic Information (VGI), Citizen Science, geo-crowdsourcing, Land Use/Land Cover mapping 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 in 2015. OpenStreetMap is not just part of my research work, but also my free time. I love mapping (my OSM username is mingo23), 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). Since November 2017 I am a proud Member of the OpenStreetMap Foundation. I am currently the Chair of the Academic Track of State of the Map 2018 conference, that will be held in Milan, Italy in July 2018.

Mapping Events

Scientific papers on OpenStreetMap

  • Minghini M., Delucchi L., Sarretta A., Lupia F., Napolitano M. and Palmas A. (2017) Collaborative mapping response to disasters through OpenStreetMap: the case of the 2016 Italian earthquake. Geoengineering Environment and Mining 151, 21-26, ISSN 1121-9041 [pre-print]
  • Kilsedar C.E., Oxoli D., Frassinelli F., Montani M. and Minghini M. (2017) Humanitarian Mapping within a Student Association: PoliMappers. Geomatics Workbooks 13, 130-136, ISSN 1591-092X [pdf]
  • Mooney P. and Minghini M. (2017) A review of OpenStreetMap data. In: Foody G., See L., Fritz S., Mooney P., Olteanu-Raimond A.-M., Fonte C.C. and Antoniou V. (Eds) Mapping and the Citizen Sensor, 37-59. London: Ubiquity Press. doi:10.5334/bbf.c [pdf]
  • Fonte C.C., Minghini M., Patriarca J., Antoniou V., See L. and Skopeliti A. (2017) Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30. ISPRS International Journal of Geo-Information 6(4), 125. doi:10.3390/ijgi6040125 [pdf]
  • 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]
  • Brovelli M.A., Minghini M., Molinari M. and Mooney P. (2017) Towards an automated comparison of OpenStreetMap with authoritative road datasets. Transactions in GIS 21(2), 191-206. doi:10.1111/tgis.12182 [pdf]
  • 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]
  • 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, 235-238, ISSN 1591-092X [pdf]

Presentations on OpenStreetMap

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.
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