GeoWeb and crisis management: issues and perspectives of volunteered geographic information

Roche, Stéphane; Propeck-Zimmermann, Éliane; Mericskay, Boris

doi:10.1007/s10708-011-9423-9

Cited by 181 publications

(133 citation statements)

References 23 publications

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“…This type of information, called Volunteered Geographic Information, has been of great practical value to complement existing geospatial datasets (Goodchild, 2007), owing to the potentially large number of volunteers who act as "sensors" (Poser and Dransch, 2010). In recent natural disasters, VGI has been used to support the activities of emergency agencies and government departments (Poser and Dransch, 2010;Yates and Paquette, 2011;Roche et al, 2011;Kongthon et al, 2012;Kaewkitipong et al, 2012;Triglav-Čekada and Radovan, 2013;Chae et al, 2014).…”

Section: Volunteered Geographic Informationmentioning

confidence: 99%

See 1 more Smart Citation

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

Horita

Albuquerque

Degrossi

et al. 2015

Computers & Geosciences

146

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Section: Volunteered Geographic Informationmentioning

confidence: 99%

“…This enables ordinary citizens who reside in high-risk areas, to provide information through various devices (e.g. smartphones) (Goodchild, 2007;De Longueville et al, 2010;Roche et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

Horita

Albuquerque

Degrossi

et al. 2015

Computers & Geosciences

146

View full text Add to dashboard Cite

“…Nedkov and Zlatanova performed a shortest-path calculation using crowdsourced data about infrastructure health [16]. Roche and Propeck-Zimmermann discussed the method and issues involved in using VGI to support crisis management [17], harnessing VGI to build and update SDI [18,19]. Mooney and Corcoran [20] described the potential for using VGI in health computing applications.…”

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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“…As such user-generated content refers to phenomena that are bound to a location, such a georeferenced content is acquiring a fundamental role in a wide range of applications. For example simple georeferenced messages from social networks such as Twitter 1 may play a major role in response actions to emergencies (Schade et al, 2012) (Roche et al, 2012). Even when different types of data are combined, for example point of interests and pictures, new scenarios come out such as volunteered-based map creation (Neis et al, 2012), and the collection of in situ biodiversity data (Newell et al, 2012) and forestry data (Aragó et al, 2011).…”

Section: Crowd-sourcing Services: Bottom-up Approachmentioning

confidence: 99%

Web 2.0 Broker: A standards-based service for spatio-temporal search of crowd-sourced information

et al. 2012

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Recent trends in information technology show that citizens are increasingly willing to share information using tools provided by Web 2.0 and crowdsourcing platforms to describe events that may have social impact. This is fuelled by the proliferation of location-aware devices such as smartphones and tablets; users are able to share information in these crowdsourcing platforms directly from the field at real time, augmenting this information with its location. Afterwards, to retrieve this information, users must deal with the different search mechanisms provided by the each Web 2.0 services. This paper explores how to improve on the interoperability of Web 2.0 services by providing a single service as a unique entry to search over several Web 2.0 services in a single step. This paper demonstrates the usefulness of the Open Geospatial Consortium's Open Search Geospatial and Time specification as an interface for a service that searches and retrieves information available in crowdsourcing services. We present how this information is valuable in complementing other authoritative information by providing an alternative, contemporary source. We demonstrate the intrinsic interoperability of the system showing the integration of crowd-sourced data in different scenarios.

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GeoWeb and crisis management: issues and perspectives of volunteered geographic information

Cited by 181 publications

References 23 publications

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

Dynamically Integrating OSM Data into a Borderland Database

Web 2.0 Broker: A standards-based service for spatio-temporal search of crowd-sourced information

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