Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia
Abstract
:1. Introduction
2. Motivation
2.1. General Motivation
2.2. Technological Motivation
2.3. Social Responsibility
3. Research of the Current Conditions
3.1. Impact of Social Media on Crisis Management
3.2. About COVID-19 Map Applications
3.3. Data Agregators
4. Materials and Methods
4.1. Input Data Sources
- Non-spatial data—news reports from web portals (7 sources—automatically)
- Non-spatial data—posts from social networks (14 sources—automatically)
- Statistical data—for the whole region and cities (1 source/6 data—automatically)
- Spatial data—map layers (3 sources/5 layers—manually).
4.2. Technology
Hardware
- Leaflet is user-friendly, easy to develop and possesses a well-documented library which fully meets the needs of a mapping solution.
- Routine knowledge of the Leaflet library and GeoJSON format is held by students [17], which enabled immediate deployment.
- In general, the choice of CMS minimized the time and effort for backend development and native functionality (user access and rights, post sharing, import/export, etc.),
- WordPress is a ready-to-use platform for verifying reports, with the option of broad customization.
- WordPress as a data aggregator—a plugin available for WordPress which enables fully automated import from various sources and completely eliminates the need for manually processing data collection.
4.3. Project Workflow
4.3.1. Administration
4.3.2. Agile Development
4.3.3. Data Processing and Spatial Verification
5. Results
5.1. Front End (UI/UX)
5.2. Cartography
6. Discussion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
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Konicek, J.; Netek, R.; Burian, T.; Novakova, T.; Kaplan, J. Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia. Data 2020, 5, 76. https://doi.org/10.3390/data5030076
Konicek J, Netek R, Burian T, Novakova T, Kaplan J. Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia. Data. 2020; 5(3):76. https://doi.org/10.3390/data5030076
Chicago/Turabian StyleKonicek, Jakub, Rostislav Netek, Tomas Burian, Tereza Novakova, and Jakub Kaplan. 2020. "Non-Spatial Data towards Spatially Located News about COVID-19: A Semi-Automated Aggregator of Pandemic Data from (Social) Media within the Olomouc Region, Czechia" Data 5, no. 3: 76. https://doi.org/10.3390/data5030076