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GIScience for Risk Management in Big Data Era

Deadline for manuscript submissions: 31 October 2021.


This Special Issue aims to capture recent efforts and advancements in harnessing the power of GIScience for risk management in the big data era.

The first group of possible topics is to inspire potential authors to deal with basic and new trends related to the big data era. The contribution of novel approaches to spatial data collection (social networks, sensors, citizen science, VGI, etc.), disaster big data processing and sharing, real-time data-centric intelligence based on sensors, harmonization of heterogeneous data into a single structure, cybersecurity of geographical information systems and others, is welcomed, along with analyses and commentary.

The second thematic block will cover cartography and GIS theories such as mobile disaster cartography, concepts, ontologization and standardization, cross-cultural aspects of disaster cartography, investigation of the psychological condition of end-users given by their personal character and situation, and the psychological condition of rescued persons are offered together with questions that are still open on the mapping methodologies and technologies for EW&CM from children and senior perspectives.

The third group of topics aims to address mapping and visualization techniques. Dynamic and real-time cartographic visualization concepts and techniques for enhanced operational activities for selected EW, DRM, and DRR purposes are highlighted. Included in the same group are both virtual environments for EW, DRM, and DRR as well as 3D analysis and visualization of disaster events.

The last group of topics is devoted to services and applications, and may include analyses and descriptions of location-based services for emergencies (web services, etc.), multimodal emergency positioning, mapping based on social big data, internet of things for solutions and visualizations, and disaster chain modeling.

In particular, potential inspiring topics for authors include the following:

Big data
Novel approaches to spatial data collection (social networks, sensors, citizen science, VGI, etc.)
Geospatial big data computing, analytics, and sharing for disaster management
Real-time data-centric intelligence based on sensors for purposes of DRM and DRR harmonization and homogenization of heterogenous data.
Searching and calculations of anomalies in geospatial big data in DRM and DRR process
Cartographic use of remotely sensed and other geospatial data for early warning, DRM, and DRR
Cybersecurity of geographical information systems (of data flows from sensor networks to GIS platforms)
Cartography and GIS theories

Mobile disaster cartography
Concepts, ontologization, and standardization for early warning, hazard, risk, and vulnerability mapping
Mechanisms of command and control systems integration
Cross-cultural aspects of disaster cartography (traditions, universality, and conventions and their integration)
Investigation of the psychological condition of end-users given by their personal character and situation and the psychological condition of rescued persons
Mapping methodologies and technologies for EW&CM from the perspectives of children and seniors. Designing, understanding, and using maps for EW, DRM, and DRR for children and seniors

Mapping and visualization techniques
Dynamic and real-time cartographic visualization concepts and techniques for enhanced operational early warning and DRM activities for selected purposes (various government levels, inter-state cooperation, first aid, etc.)
Virtual environments for EW and DRR (geographic, indoors, underground, etc.)
3D disaster (floods, fires, slides, tsunamis, etc.) analysis and visualization

Services and application
Location-based service for emergencies
Multimodal emergency positioning
Disaster risk analyses and mapping using social big data
Internet of things (IoT) in disaster solutions and visualizations
Disaster chain modeling

Special Issue Editors

Prof. Dr. Milan Konecny Website
Guest Editor
Laboratory on Geoinformatics and Cartography, Department of Geography, Faculty of Science, Masaryk University, Kotlarska 2, 61137 BRNO, Czech Republic
Interests: disaster risk reduction; disaster mapping; context and adaptive cartography; health cartography; big spatial data

Prof. Dr. Jie Shen Website
Guest Editor
School of Geography, Nanjing Normal University, Wenyuna Road 1, 210023, Nanjing, China
Interests: disaster mapping; context and adaptive cartography; indoor navigation; map genreralization

Prof. Dr. Zhenlong Li Website
Guest Editor
Geoinformation and Big Data Research Laboratory (GIBD), Department of Geography, University of South Carolina, Columbia, SC 29208, USA
Interests: GIScience; geospatial big data; social media analytics; high performance computing; CyberGIS; GeoAI

https://www.mdpi.com/si/61242