Assuring the quality of volunteered geographic information

Goodchild, Michael F.; Li, Linna

doi:10.1016/j.spasta.2012.03.002

Cited by 650 publications

(543 citation statements)

References 12 publications

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“…Tortato and Izzo (2016) suggest that this mismatch may result from incompleteness of the version of the World Database on Protected Areas (WDPA) that was used in our global analysis (from August 2013). While we are aware that remotely sensed imagery, GIS datasets, and social media data applied at the global scale may have limitations due to issues of spatial resolution, accuracy, and completeness (Goodchild and Quattrochi 1997, Kerr and Ostrovsky 2003, Goodchild and Li 2012, we disagree with Tortato and Izzo's observation. We show below in a detailed local-scale analysis that the visitation hotpots in Brazil's Pantanal region, as identified in our global analysis (Levin et al 2015), are indeed unprotected, supporting our original paper.…”

mentioning

confidence: 60%

Scale matters: differences between local, regional, and global analyses

Levin

Crandall

Kark

2016

Ecological Applications

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mentioning

confidence: 60%

Scale matters: differences between local, regional, and global analyses

Levin

Crandall

Kark

2016

Ecological Applications

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“…Van Exel and Dias [14] presented a method to determine both user reputation and trustworthiness information using user experience, local knowledge and contribution lineage, etc. Goodchild and Li [15] analyzed the crowdsourcing, social, and geographic approaches to assure VGI quality.…”

Section: Related Workmentioning

confidence: 99%

Dynamically Integrating OSM Data into a Borderland Database

Zhou

Zeng

et al. 2015

IJGI

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Spatial data are fundamental for borderland analyses of geography, natural resources, demography, politics, economy, and culture. As the spatial data used in borderland research usually cover the borderland regions of several neighboring countries, it is difficult for anyone research institution of government to collect them. Volunteered Geographic Information (VGI) is a highly successful method for acquiring timely and detailed global spatial data at a very low cost. Therefore, VGI is a reasonable source of borderland spatial data. OpenStreetMap (OSM) is known as the most successful VGI resource. However, OSM's data model is far different from the traditional geographic information model. Thus, the OSM data must be converted in the scientist's customized data model. Because the real world changes rapidly, the converted data must be updated incrementally. Therefore, this paper presents a method used to dynamically integrate OSM data into the borderland database. In this method, a basic transformation rule base is formed by comparing the OSM Map Feature description document and the destination model definitions. Using the basic rules, the main features can be automatically converted to the destination model. A human-computer interaction model transformation and a rule/automatic-remember mechanism are developed to interactively transfer the unusual features that cannot be transferred by the basic rules to the target model and to remember the reusable rules automatically. To keep the borderland database current, the global OsmChange daily diff file is used to extract the change-only information for the research region. To extract the changed objects in the region under study, the relationship between the changed object and the research region is analyzed considering the evolution of the OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 1708 involved objects. In addition, five rules are determined to select the objects and integrate the changed objects with multi-versions over time. The objects' change-type evolution is analyzed, and seven rules are used to determine the change-type of the changed objects. Based on these rules and algorithms, we programmed an automatic (or semi-automatic) integrating and updating prototype system for the borderland database. The developed system was intensively tested using OSM data for Vietnam and Pakistan as the experimental data.

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“…The following chapter presents an important overview and study of the social moderation process, which is at the heart of the quality assessment for the GMU-GcT, and represents one of the principle quality assessment techniques outlined by Goodchild and Li (2012) for geocrowdsourcing applications. 63…”

Section: Mobile Field Moderation In the Gmu-gctmentioning

confidence: 99%

“…However, the GMUGcT cannot solely rely on this approach, due to its smaller contributor group. Since the GMU-GcT produces a reasonably small dataset, with an average contribution rate of ten reports per week, we apply what Goodchild and Li (2012) 65 refer to as the social approach to geocrowdsourced quality assessment. This approach relies on a group of team leaders to act as moderators in validating incoming data.…”

Section: Social Moderation For Crowdsourced Geospatial Datamentioning

confidence: 99%

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

Rice¹,

Curtin²,

Pfoser³

et al. 2015

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A A r re ep po or rt t o on n q qu ua al li it ty y a as ss se es ss sm me en nt t, , d dy yn na am mi ic c e ex xt te en ns si io on ns s, , a an nd d m mo ob bi il le e d de ev vi ic ce e e en ng ga ag ge em me en nt t i in n t th he e G Ge eo or rg ge e M Ma as so on n U Un ni iv ve er rs si it ty y G Ge eo oc cr ro ow wd ds so ou ur rc ci in ng g T Te es st tb be ed AbstractThis report documents the development of the George Mason University Geocrowdsourcing Testbed (GMU-GcT), whose purpose is to provide a platform for studying the dynamics, limitations, and best practices of geocrowdsourcing. We present a comprehensive study of the social moderation process in the GMU-GcT and the quality parameters of information in the GMU-GcT. We present an analysis of device-based positioning in mobile geocrowdsourcing, and use the study and our analysis as a context for dynamic application extensions of the GMU-GcT in the areas of field-based obstacle moderation, obstacle interaction, and accessible routing.

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Assuring the quality of volunteered geographic information

Cited by 650 publications

References 12 publications

Scale matters: differences between local, regional, and global analyses

Scale matters: differences between local, regional, and global analyses

Dynamically Integrating OSM Data into a Borderland Database

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

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