Centrope MAP: Combining X-Border Information from Multiple Sources for Planning Purposes

Schrenk, Manfred; Pozarek, Walter

doi:10.1007/978-3-540-37629-3_7

Cited by 2 publications

(2 citation statements)

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“…It was expected that such a method could help in identifying relevant data and in sharing of information in emergency situations. Furthermore, Schrenk and Pozarek (2007) introduced a method of combining cross-border-region spatial information from various sources for political and economic decision making, which is integrated into "Centrope Map" as the Spatial Data Infrastructure (SDI). The project involved integrating heterogeneous geospatial data and related attributes of the involved regions, overcoming the challenges of accessing data from different organisations, using multiple languages from different counties, and integrating multi-source data using various standards and tools.…”

Section: Virtual Emergency Training and Related Toolsmentioning

confidence: 99%

“…• 3D/4D spatial information in emergency management (Zlatanova et al, 2005;Lee, 2007;Beni, Mostafavi, & Pouliot, 2007); • Multi-source spatial information integration (Pundt, 2008;Xu & Zlatanova, 2007;Kokla & Kavouras, 2001;Schrenk & Pozarek, 2007;Zhao, Huang, Guo, Wen, & Zhong, 2007); • Web service for spatial information (Tanasescu et al, 2006;Country Fire Authority, 2010;Victoria and Chicago Police Department, 2010).…”

Section: Emergency Management With Gismentioning

confidence: 99%

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Real-Time Data Visualisation in Collaborative Virtual Environment for Emergency Management

Wang

Bishop

2013

International Journal of Information Systems for Crisis Response and Management

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A collaborative virtual environment (CVE) is a shared virtual environment used for collaboration of many participants that may be spread over large distances. CVEs have been widely used in emergency management, especially for education, training and assessment. This paper describes the design and implementation of a prototype system that facilitates emergency management via a CVE using real-time spatial information. In particular, a method for automatic integration, modeling and visual simulation using real-time data from multiple online sources is proposed. Moreover, strategies are presented for using CVE-based scenarios for carrying out training, and testing preparedness measures. A novel technique has also been developed for real-time situation monitoring. Based on a system development (SD) research approach, the performance and functionality of the system was tested and evaluated. The use of real-time data acquisition and simulation was deemed to improve the processes of emergency management by increasing engagement, enhancing training and supporting decision-making of first responders and emergency managers.

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Section: Virtual Emergency Training and Related Toolsmentioning

confidence: 99%