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Rafael Sierra Requena, José Carlos Martínez-Llario, Edgar Lorenzo-Sáez and Eloína Coll-Aliaga
The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas. Additionally, add...
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T. Edwin Chow, Joyce Chien and Kimberly Meitzen
The primary objective of this study was to examine the quality of volunteered geographic information (VGI) data for flood mapping of Hurricane Harvey. As a crowdsourcing platform, the U-Flood project mapped flooded streets in the Houston metro area. This...
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Guiming Zhang
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observatio...
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Alberto Vavassori, Daniela Carrion, Benito Zaragozi and Federica Migliaccio
Timely mapping of flooded areas is critical to several emergency management tasks including response and recovery activities. In fact, flood crisis maps embed key information for an effective response to the natural disaster by delineating its spatial ex...
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Sepehr Honarparvar, Mohammad Reza Malek, Sara Saeedi and Steve Liang
One of the most important challenges of volunteered geographic information (VGI) is the quality assessment. Existing methods of VGI quality assessment, either assess the quality by comparing a reference map with the VGI map or deriving the quality from t...
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Dimitra Zacharopoulou, Andriani Skopeliti and Byron Nakos
Volunteered Geographic Information (VGI) is a widely used data source in various fields and services, such as environmental monitoring, disaster and crisis management, SDI, and mapping. Quality is a critical factor for the usability of VGI. This study fo...
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Lih Wei Yeow, Raymond Low, Yu Xiang Tan and Lynette Cheah
Point-of-interest (POI) data from map sources are increasingly used in a wide range of applications, including real estate, land use, and transport planning. However, uncertainties in data quality arise from the fact that some of this data are crowdsourc...
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Amerah Alghanim, Musfira Jilani, Michela Bertolotto and Gavin McArdle
Volunteered Geographic Information (VGI) is often collected by non-expert users. This raises concerns about the quality and veracity of such data. There has been much effort to understand and quantify the quality of VGI. Extrinsic measures which compare ...
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Gloria Bordogna
The paper analyses the characteristics of Volunteer Geographic Information (VGI) and the need to assure and assess its quality for a possible use and re-use. Ontologies and soft ontologies are presented as means to support quality assurance and assessmen...
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Robert Jeansoulin
Providing long-term data about the evolution of railway networks in Europe may help us understand how European Union (EU) member states behave in the long-term, and how they can comply with present EU recommendations. This paper proposes a methodology fo...
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