Dynamické mapovací metody orientované na řízení rizik a katastrof v éře velkých dat (gis4dis)
- Project Identification
- LTACH-17002
- Project Period
- 4/2017 - 12/2019
- Investor / Pogramme / Project type
-
Ministry of Education, Youth and Sports of the CR
- INTER-EXCELLENCE
- INTER-ACTION
- MU Faculty or unit
- Faculty of Science
- Project Website
- http://geogr.muni.cz/gis4dis
- Keywords
- GIS, big data, web map, crisis management, early warning, decision support, cartographic generalisation, adaptive cartography, cartographic visualization
The project is focused on collecting and processing data from different sources and their cartographic presentation in real time (ie. rapid mapping) for crisis management. Efficient methods will be developed for gathering, processing, integration and sharing of spatial data that can be used by entities involved in emergency situations - rescue system, state and local governments and others. These include sensor data from various types of sensor networks, volunteer geographic information (VGI), data obtained through social networking and others, which will be chosen according to their relevance to specific types of emergency situation. Our goal is a generation of cartographic representations from the data gathered that will be used as an effective tool to support the solution of crisis situation.
The project responds to the unresolved issue in the field of early warning and crisis management and builds on current trends of cartography in the era of big data. The amount of data available is constantly increasing, however such an amount of data is difficult to handle. The main benefit of the project is the development of methods for dynamic generation of maps for different regions and crisis events using methods of web cartography using appropriate rules for crisis management. The aim is to create a software environment for creating maps for crisis management in real time, which will be verified in both participating countries.
Publications
Total number of publications: 17
2019
-
An instance-based scoring system for indoor landmark salience evaluation
Geografie, year: 2019, volume: 124, edition: 2
-
Coincident Visualization of Uncertainty and Value for Point Symbols
Year: 2019, type: Conference abstract
-
Digital Earth for Disaster Mitigation
Manual of Digital Earth, edition: Vyd. první, year: 2019, number of pages: 32 s.
-
Navigation in Indoor Environments: Does the Type of Visual Learning Stimulus Matter?
ISPRS International Journal of Geo-Information, year: 2019, volume: 8, edition: 6, DOI
-
Population Distribution Modelling at Fine Spatio-temporal Scale Based on Mobile Phone Data
International Journal of Digital Earth, year: 2019, volume: 12, edition: 11, DOI
-
Study on multi-source data integrating standard and 3D cartographic visualization of urban flooding based on CityGML
Year: 2019, type: Conference abstract
-
User Evaluation of Map-Based Visual Analytic Tools
ISPRS International Journal of Geo-Information, year: 2019, volume: 8, edition: 8, DOI
2018
-
AN INSTANCE-BASED SCORING SYSTEM FOR INDOOR LANDMARK SALIENCE EVALUATION
Proceedings vol 1,2, year: 2018
-
Controlling 3D Geovisualizations on Touch Screen – The Role of Users Age and Gestures Intuitiveness
Proceedings, 7th International Conference on Cartography and GIS, Vol. 1, year: 2018
-
Effect of Size, Shape and Map Background in Cartographic Visualization: Experimental Study on Czech and Chinese Populations
ISPRS International Journal of Geo-Information, year: 2018, volume: 7, edition: 11, DOI