MEASURES AND INDICATORS OF VGI QUALITY: AN OVERVIEW

92 citations as recorded by crossref.

1. Spatial and Temporal Patterns in Volunteer Data Contribution Activities: A Case Study of eBird G. Zhang
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7. Differences in Perspectives between Facility Managers and Crowd Workers in Accessibility Mapping A. Miyata
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13. OpenStreetMap Contribution to Local Data Ecosystems in COVID-19 Times: Experiences and Reflections from the Italian Case M. Minghini et al.
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15. Assessing the Validity of OpenStreetMap for Food Environment Research G. Chen et al.
16. A Long-Term Quality Perception Incentive Strategy for Crowdsourcing Environments with Budget Constraints L. Gao et al.
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18. I musei in Italia: le potenzialità degli open data geografici per l'analisi territoriale F. Balducci
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20. Intrinsic Quality Assessment of Volunteered Geographic Information: A Geometric and Usage-Type Perspective S. Sobhi et al.
21. Assessing OSM building completeness using population data Y. Zhang et al.
22. GIScience I: The rise, fragmentation, and future of VGI V. Fast
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24. Integrating deep learning image analysis into Web GIS applications: A Hybrid Flask - Spring Boot architecture for automated place detection M. HYSENAJ
25. Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges M. Ben Rhaiem et al.
26. A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints M. Brovelli & G. Zamboni
27. Assessment and Visualization of OSM Consistency for European Cities D. Zacharopoulou et al.
28. Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment L. Petersson et al.
29. A comprehensive quality assessment framework for linear features from Volunteered Geographic Information H. Wu et al.
30. User Generated Spatial Content-Integrator: Conceptual Model to Integrate Data from Diverse Sources of User Generated Spatial Content J. Estima & M. Painho
31. The design of civic technology: factors that influence public participation and impact A. May & T. Ross
32. Ranking of VGI contributor reputation using an evaluation‐based weighted pagerank D. Zhang et al.
33. Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds M. Kölle et al.
34. Trust as a proxy indicator for intrinsic quality of Volunteered Geographic Information in biodiversity monitoring programs H. Vahidi et al.
35. A Risk-Based Approach for Enhancing the Fitness of Use of VGI T. Sboui & S. Aissi
36. Volunteer reputation determination in crowdsourcing projects using latent class analysis K. Moreri
37. Semantic accuracy determination of VGI using human computation: Botswana case study K. Moreri
38. OpenStreetMap history for intrinsic quality assessment: Is OSM up-to-date? M. Minghini & F. Frassinelli
39. Determining the data quality-influencing characteristics of participants in volunteered geographic information campaigns – the case of maritime disasters M. Tavra et al.
40. Systematization of approaches to assessing the quality of spatio-temporal knowledge sources S. Savosin et al.
41. Defining Fitness-for-Use for Crowdsourced Points of Interest (POI) D. Jonietz & A. Zipf
42. Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) B. Bechtel et al.
43. A School of Thought on VGI Challenges: A Literature Review A. Khosravi Kazazi et al.
44. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review X. Huang et al.
45. A Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised Machine Learning A. Madubedube et al.
46. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena G. Zhang et al.
47. Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments S. Haghbayan et al.
48. The influence of sampling design on spatial data quality in a geographic citizen science project G. Brown et al.
49. Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping A. McGough et al.
50. Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas R. Sierra Requena et al.
51. Unpacking the role of volunteered geographic information in disaster management: focus on data quality M. Tavra et al.
52. Is OpenStreetMap a good source of information for cultural statistics? The case of Italian museums F. Balducci
53. VGI and crowdsourced data credibility analysis using spam email detection techniques S. Koswatte et al.
54. Analysing the positional accuracy of GNSS multi-tracks obtained from VGI sources to generate improved 3D mean axes A. Mozas-Calvache & F. Ariza-López
55. Measuring the Wisdom of the Crowd: How Many is Enough? V. Walter et al.
56. Anomaly detection for volunteered geographic information: a case study of Safecast data Y. Xin
57. A deep dive into OpenStreetMap research since its inception (2008–2024): contributors, topics, and future trends Y. Sun et al.
58. Evaluating the usefulness of VGI from Waze for the reporting of flash floods C. Lowrie et al.
59. A Filtering-Based Approach for Improving Crowdsourced GNSS Traces in a Data Update Context S. Ivanovic et al.
60. Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines A. Onencan et al.
61. A review of volunteered geographic information quality assessment methods H. Senaratne et al.
62. Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries K. Moreri et al.
63. Exploring the relationship between density and completeness of urban building data in OpenStreetMap for quality estimation Q. Zhou
64. Analysing the Impact of Large Data Imports in OpenStreetMap R. Witt et al.
65. Assessing the positional accuracy of perceptual landscape data: A study from Friuli Venezia Giulia, Italy G. Bressan
66. Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information L. See et al.
67. The use of geometric indicators to estimate the quantitative completeness of street blocks in OpenStreetMap Q. Zhou & Y. Tian
68. The Value of OpenStreetMap Historical Contributions as a Source of Sampling Data for Multi-Temporal Land Use/Cover Maps C. Viana et al.
69. The Spatial-Comprehensiveness (S-COM) Index: Identifying Optimal Spatial Extents in Volunteered Geographic Information Point Datasets H. Lawrence et al.
70. Exploring the use of crowdsourced geographic information in defence: challenges and opportunities N. Papapesios et al.
71. Quality Evaluation of Volunteered Geographic Information (VGI) by assessing user’s reliability, using Artificial Neural Networks (ANN) E. Azari Asgari & F. Hosseinali
72. Geoinformation Technologies in Support of Environmental Hazards Monitoring under Climate Change: An Extensive Review A. Tsatsaris et al.
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75. “How Far Is the Closest Bus Stop?” An Evaluation of Self-Reported versus GIS-Computed Distance to the Bus among Older People and Factors Influencing Their Perception of Distance F. Balducci et al.
76. A method for assessing the credibility of volunteered geographic information in case of flood crisis Q. Safariallahkheili & M. Malek
77. Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe T. Ullah et al.
78. OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery X. Xie et al.
79. Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience Y. Yan et al.
80. Crowdsourced geospatial data quality: challenges and future directions A. Basiri et al.
81. E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time C. Havas et al.
82. EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings N. Milojevic-Dupont et al.
83. Exploiting the Potential of VGI Metadata to Develop A Data-Driven Framework for Predicting User’s Proficiency in OpenStreetMap Context G. Rajaram & K. Manjula
84. Prospective for urban informatics W. Shi et al.
85. Data trustworthiness and user reputation as indicators of VGI quality P. Fogliaroni et al.
86. Extending Processing Toolbox for assessing the logical consistency of OpenStreetMap data S. Sehra et al.
87. Crowdsourcing without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping M. Samulowska et al.
88. Assessing the internal quality of PPGIS data: development and testing of a quality assessment framework A. Simola et al.
89. Linking forest management to surrounding lands: a citizen-based approach towards the regional understanding of land-use transitions D. Yang et al.
90. Point-of-Interest (POI) Data Validation Methods: An Urban Case Study L. Yeow et al.
91. A Semantic Approach for Quality Assurance and Assessment of Volunteered Geographic Information G. Bordogna
92. A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information L. Degrossi et al.