Cartography and geographic information (GI) are remarkably appropriate for the requirements of early warning (EW) and crisis management (CM). The use of geospatial technology has increased tremendously in the last years. ICT has changed from just using maps created in advance, to new approaches, allowing individuals (decision-makers) to use cartography interactively, on the basis of individual user's requirements. The new generation of cartographic visualizations based on standardisation, formal modelling, use of sensors, semantics and ontology, allows for the better adaptation of information to the needs of the users. In order to design a new framework in pre-disaster and disaster management safety/security/privacy aspects of institutions and citizens need to be considered. All this can only be achieved by demonstrating new research achievements, sharing best practices (e.g. in the health area) and working towards the wider acceptance of geospatial technology in society, with the help of education and media.
This book will outline research frontiers and applications of cartography and GI in EW and CM and document their roles and potentials in wider processes going on in information/knowledge-based societies.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
162 s/w Abbildungen
XXII, 429 p. 162 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 26 mm
Gewicht
ISBN-13
978-3-642-26293-7 (9783642262937)
DOI
10.1007/978-3-642-03442-8
Schweitzer Klassifikation
Geoinformation Processing and Modelling.- Earth Observations and Dynamic Mapping: Key Assets for Risk Management.- Spatial Information for Disaster Management Using Examples from IstanbulIstanbul .- Rapid Population Maps for Crisis Response.- Modeling of Spatiotemporal Distribution of Urban Population at High Resolution - Value for Risk Assessment and Emergency Management.- A Framework for Defining a 3D Model in Support of Risk Management.- DB4GeO, a 3D/4D Geodatabase and Its Application for the Analysis of Landslides.- GIS Procedure to Forecast and Manage Woodland Fires.- Cartographic Support of Fire Engine Navigation to Operation Site.- Strategies for the Automatic Extraction of Water Bodies from TerraSAR-X / TanDEM-X data.- GIS Techniques in the Evaluation of Pipeline Networks Seismic Hazard.- Towards a Quick Damage Detection System Based on Grid Computing.- GMES Services for Conflict Prevention and Mitigation: Supporting the DG RELEX in Mission Planning.- Geo-information Services.- Mobilizing Multi-source Geospatial Information for EW and EM: Maximize Sharing, Enhance Flexibility, and Minimize Costs.- Metainformation in Crisis Management Architecture - Theoretical Approaches, INSPIRE Solution.- Collaborative Post-disaster Damage Mapping via Geo Web Services.- Decision Support for Tsunami Early Warning in Indonesia: The Role of OGC Standards.- A Service-Based Architecture for the Interoperability of Heterogeneous Sensor data: A Case Study on Early Warning.- Development of a Coupled Geoinformation and Simulation System for Early Warning.- Multi-criteria Evaluation for Emergency Management in Spatial Data Infrastructures.- Field Tracking Tool: A Collaborative Framework from the Field to the Decision Makers.- Practical Experience with a Contextual Map Service.-Advanced Cartographic Visualisation.- Cartography and Geoinformation for Early Warning and Emergency Management.- Process Support and Adaptive Geovisualisation in Emergency Management.- Perceptions of Various Cartographic Representations Under Specific Conditions.- Research of Students' Cartographical Knowledge in Early Warning and Crisis Management.- Geovisual Analytics Tools for Communicating Emergency and Early Warning.- Kernel Density Estimations for Visual Analysis of Emergency Response Data.- Monitoring and Comparing: A Cartographic Web Application for Real-time Visualization of Hydrological Data.- Designing Map Keys Map Key for Crisis ManagementCrisis Management on the Regional Operational and Informational Centre Level: Monitoring Transport of Dangerous Goods via Contextual Visualisation Contextual Visualization .
