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Assessing OpenStreetMap as an Open Property Map

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OpenStreetMap in GIScience

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Approximately 5/6th of the world’s land and property rights, restrictions and responsibilities (RRRs) are unrecorded. This applies to both the developing and developed world and suggests that a considerable gap exists in worldwide land tenure information. Crowdsourcing can be used as a methodology for addressing this information gap. This chapter investigates the potential of OpenStreetMap (OSM) as a crowdsourcing system in collecting and recording land tenure information including RRRs. The chapter uses a case study in Victoria, Australia, to investigate the quality of the current OSM data and its potential as a crowdsourced record of public properties. The chapter studies the completeness of the public property records in the OSM, and the location, shape, area and description of the existing records. The analysis concludes with a mixed result. While the results show a considerable gap in the OSM records, at same time they indicate an acceptable quality for the existing records. The paper finally discusses the potential of OSM as an Open Property Map (OPM).

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References

  • Arkin EM, Chew LP, Huttenlocher DP, Kedem K, Mitchell JSB (1991) An efficiently computable metric for comparing polygonal shapes. IEEE Trans Pattern Anal Mach Intell 13(3):209–216

    Article  Google Scholar 

  • Augustinus C (2010). Social tenure domain model: what it can mean for the land industry and for the poor. XXIV FIG International Congress

    Google Scholar 

  • Basiouka S, Potsiou C (2012) VGI in cadastre: a Greek experiment to investigate the potential of crowd sourcing techniques in cadastral mapping. Surv Rev 44(325):153–161

    Article  Google Scholar 

  • Bennett R, Wallace J, Williamson I (2008) Organising land information for sustainable land administration. Land Use Policy 25(1):126–138

    Article  Google Scholar 

  • Bishop P, Jenkins V (2011) Planning and nuisance: revisiting the balance of public and private interests in land-use development. J Environ Law 23(2):285–310

    Article  Google Scholar 

  • De Leon R, Garcia T, Kummel G, Munden L, Murday S, Pradela L (2013) Global capital, local concessions: a data-driven examination of land tenure risk and industrial concessions in emerging market economies. The Munden Proj

    Google Scholar 

  • Department of Environment and Primary Industries (2013) Vicmap features of interest, from http://www.dse.vic.gov.au/property-titles-and-maps/maps-imagery-and-data/data/vicmap/vicmap-products/vicmap-features-of-interest. 21 Oct 2013

  • Fan H, Zipf A, Fu Q, Neis P (2014) Quality assessment for building footprints data on OpenStreetMap. Int J Geogr Inf Sci 28(4):700–719

    Article  Google Scholar 

  • Girres JF, Touya G (2010) Quality assessment of the French OpenStreetMap dataset. Trans GIS 14(4):435–459

    Article  Google Scholar 

  • Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plan 37(4):682

    Article  Google Scholar 

  • Jackson SP, Mullen W, Agouris P, Crooks A, Croitoru A, Stefanidis A (2013) Assessing completeness and spatial error of features in volunteered geographic information. ISPRS Int J Geoinf 2(2):507–530

    Article  Google Scholar 

  • Jokar Arsanjani J, Helbich M, Bakillah M, Hagenauer J, Zipf A (2013a) Toward mapping land-use patterns from volunteered geographic information. Int J Geogr Inf Sci 27(12):2264–2278

    Article  Google Scholar 

  • Jokar Arsanjani J, Helbich M, Bakillah M, Loos L (2013b) The emergence and evolution of OpenStreetMap: a cellular automata approach. Int J Digit Earth 1–15

    Google Scholar 

  • Jokar Arsanjani J, Vaz E, Bakillah M, Mooney P (2014) Towards initiating OpenLandMap founded on citizens’ science: the current status of land use features of OpenStreetMap in Europe. Proceedings of the 17th AGILE Conference on Geographic Information Science, Castellon, Spain, AGILE Digital Editions

    Google Scholar 

  • Kalantari M, Rajabifard A, Wallace J, Williamson I (2008) Spatially referenced legal property objects. Land Use Policy 25(2008):173–181

    Article  Google Scholar 

  • Koukoletsos T, Haklay M, Ellul C (2011) An automated method to assess data completeness and positional accuracy of OpenStreetMap. In: 11th international conference on geocomputation, London, UK

    Google Scholar 

  • Koukoletsos T, Haklay M, Ellul C (2012) Assessing data completeness of VGI through an automated matching procedure for linear data. Trans GIS 16(4):477–498

    Article  Google Scholar 

  • McLaren R (2011) Crowdsourcing support of land administration: a new, collaborative partnership between citizens and land professionals. Royal Institution of Chartered Surveyors (RICS) Report November

    Google Scholar 

  • Mondzech J, Sester M (2011) Quality analysis of OpenStreetMap data based on application needs. Cartographica: Int J Geogr Inf Geovis 46(2):115–125

    Google Scholar 

  • Mooney P, Corcoran P, Winstanley AC (2010) Towards quality metrics for openstreetmap. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems, ACM

    Google Scholar 

  • Payne GK (2002) Land, rights and innovation: improving tenure security for the urban poor. ITDG publishing, London

    Google Scholar 

  • Perkins M (2012) Developer wants to let the sunshine in and it will all be done with mirrors. The Age, from http://theage.domain.com.au/developer-wants-to-let-the-sunshine-in-and-it-will-all-be-done-with-mirrors-20121031-28kc0.html. 11 Feb 2014

  • Provost C (2013) Developers risk losing billions if they fail to address land conflicts, from http://www.theguardian.com/global-development/2013/sep/19/developers-land-rights-conflicts. 11 Feb 2014

  • Python (2013) difflib—helpers for computing deltas, from http://docs.python.org/2/library/difflib.html. Retrieved 10 Oct 2013

  • Spielman SE (2014) Spatial collective intelligence? Credibility, accuracy, and volunteered geographic information. Cartography Geogr Inf Sci 41(2):115–124

    Article  Google Scholar 

  • UN-FPA (2014) Land, natural resources and conflict: from curse to opportunity. An UN-EU Partnership in action, from http://www.un.org/en/land-natural-resources-conflict/. 11 Feb 2014

  • Weiner JF (2011) Conflict in the statutory elicitation of aboriginal culture in Australia. Anthropol Forum 21(3):257–267

    Article  Google Scholar 

  • Williamson I, Enemark S, Wallace J, Rajabifard A (2010) Land administration for sustainable development. ESRI Press Academic Redlands, CA

    Google Scholar 

  • Zielstra D, Zipf A (2010) A comparative study of proprietary geodata and volunteered geographic information for Germany. In: 13th AGILE international conference on geographic information science

    Google Scholar 

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Correspondence to Mohsen Kalantari .

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Kalantari, M., La, V. (2015). Assessing OpenStreetMap as an Open Property Map. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (eds) OpenStreetMap in GIScience. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-14280-7_13

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