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Artificial intelligence-based solution to estimate the spatial accuracy of volunteered geographic data
16 references·9 citing·35 second hop
Artificial intelligence-based solution to estimate the spatial accuracy of volunteered geographic data (2014)Artificial intelligence-based solution to…Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap (2013)Trust as a Proxy Measure for …A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis (2013)A Comprehensive Framework for…Characteristics of Heavily Edited Objects in OpenStreetMap (2012)Characteristics of Heavily Ed…Assuring the quality of volunteered geographic information (2012)Assuring the quality of volun…Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks (2011)Mining urban land-use pattern…Quality Assessment of the French OpenStreetMap Dataset (2010)Quality Assessment of the Fre…How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Good is Volunteered Geogr…Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps (2010)Comparison of the accuracy of…Volunteered geographic information: key questions, concepts and methods to guide emerging research and practice (2008)Volunteered geographic inform…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…Modelling vague places with knowledge from the Web (2008)Modelling vague places with k…Citizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…GIS‐based multicriteria decision analysis: a survey of the literature (2006)GIS‐based multicriteria decis…GIS and Multicriteria Decision Analysis (2000)GIS and Multicriteria Decisio…Data preparation for data mining (1999)Data preparation for data min…A simple positional accuracy measure for linear features (1997)A simple positional accuracy …A framework of quality assessment methods for crowdsourced geographic information : a systematic literature review (2026)A framework of quality assess…Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan (2022)Quality assessment of volunte…Towards Development of a Real-Time Point Feature Quality Assessment Method for Volunteered Geographic Information Using the Internet of Things (2021)Towards Development of a Real…Mining spatiotemporal growth pattern of volunteered data using a contributor-based approach (2021)Mining spatiotemporal growth …Earthquake Damage Assessment Based on User Generated Data in Social Networks (2021)Earthquake Damage Assessment …Quality Evaluation of Volunteered Geographic Information (2019)Quality Evaluation of Volunte…DATABASE-SUPPORTED CHANGE ANALYSIS AND QUALITY EVALUATION OF OPENSTREETMAP DATA (2019)DATABASE-SUPPORTED CHANGE ANA…A framework for classification of volunteered geographic data based on user’s need (2019)A framework for classificatio…Quality Evaluation of Volunteered Geographic Information (2017)Quality Evaluation of Volunte…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)MEASURES AND INDICATORS OF VGI QUALITY: AN OVERVIEW (2015)Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information (2016)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)A review of volunteered geographic information quality assessment methods (2016)The world’s user-generated road map is more than 80% complete (2017)Global maps of travel time to healthcare facilities (2020)The world is flat: a brief history of the twenty-first century (2006)How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Geographic Objects with Indeterminate Boundaries. (1997)Where is Helvellyn? 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References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 2000GIS and Multicriteria Decision Analysis3,032 cited
  • 2006GIS‐based multicriteria decision analysis: a survey of the literature2,318 cited
  • 2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets1,640 cited
  • 1999Data preparation for data mining1,363 cited
  • 2012Assuring the quality of volunteered geographic information773 cited
  • 2010Quality Assessment of the French OpenStreetMap Dataset668 cited
  • 2013A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis413 cited
  • 2008Modelling vague places with knowledge from the Web345 cited
  • 1997A simple positional accuracy measure for linear features334 cited
  • 2008Volunteered geographic information: key questions, concepts and methods to guide emerging research and practice199 cited
  • 2010Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps152 cited
  • 2012Characteristics of Heavily Edited Objects in OpenStreetMap136 cited
  • 2013Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap

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122 cited
  • 2011Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks121 cited
  • Cited by

    • 2017Quality Evaluation of Volunteered Geographic Information20 cited
    • 2021Earthquake Damage Assessment Based on User Generated Data in Social Networks18 cited
    • 2019Quality Evaluation of Volunteered Geographic Information11 cited
    • 2026A framework of quality assessment methods for crowdsourced geographic information : a systematic literature review10 cited
    • 2019A framework for classification of volunteered geographic data based on user’s need9 cited
    • 2021Towards Development of a Real-Time Point Feature Quality Assessment Method for Volunteered Geographic Information Using the Internet of Things9 cited
    • 2022Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan9 cited
    • 2019DATABASE-SUPPORTED CHANGE ANALYSIS AND QUALITY EVALUATION OF OPENSTREETMAP DATA7 cited
    • 2021Mining spatiotemporal growth pattern of volunteered data using a contributor-based approach5 cited