Data integration and visualization of air quality in urban environment
Air quality visualization importance cannot be overestimated for several reasons, ranging from public health and environmental awareness to policy-making and urban planning. The tool described here is meant to bridge the gap between scientific data and general audience, promoting greater understandi...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Online Access: | https://repository.londonmet.ac.uk/9308/1/VV-41-Data%20Integration%20and%20Visualization%20of%20Air%20Quality%20in%20Urban%20Environment.pdf |
| _version_ | 1824446461156261888 |
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| author | Sowinski-Mydlarz, Viktor Vassilev, Vassil Gasiorowski, Pawel |
| author_facet | Sowinski-Mydlarz, Viktor Vassilev, Vassil Gasiorowski, Pawel |
| author_sort | Sowinski-Mydlarz, Viktor |
| collection | LMU |
| description | Air quality visualization importance cannot be overestimated for several reasons, ranging from public health and environmental awareness to policy-making and urban planning. The tool described here is meant to bridge the gap between scientific data and general audience, promoting greater understanding and prevention of air pollution through taking the hourly readings from 23 Develiot stations in the city of Sofia and overlaying them onto terrain map and 3d buildings layer (coming from Open Street Maps).
Various open source / non-commercial tools are used for data preprocessing, analysis, and integration. The languages and data formats are explained. Implementation of the platform, transformation, integration, and visualisation of sensor, historical, and geolocation data are discussed in detail. Integrating 3d building reconstruction and triangulation of measurements for arbitrary points in the map are explained. Finally, the data flow from the sensors through the API, MongoDB database, Flask framework to the frontend web application is shown.
Users can interact with the data, zoom in/out, rotate the view, and access additional information about specific data points. All elements of the map are interactive – clicking on the air quality stations domes gives the station details and measurements, selecting an OSM 3d building shows the semantic context (address, type of building, name in Bulgarian and English, owner, etc.). Double clicking on any point in map creates a triangulated marker. |
| first_indexed | 2024-07-09T04:08:04Z |
| format | Conference or Workshop Item |
| id | oai:repository.londonmet.ac.uk:9308 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2025-02-19T01:15:31Z |
| publishDate | 2024 |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:93082024-10-16T11:29:10Z https://repository.londonmet.ac.uk/9308/ Data integration and visualization of air quality in urban environment Sowinski-Mydlarz, Viktor Vassilev, Vassil Gasiorowski, Pawel 000 Computer science, information & general works Air quality visualization importance cannot be overestimated for several reasons, ranging from public health and environmental awareness to policy-making and urban planning. The tool described here is meant to bridge the gap between scientific data and general audience, promoting greater understanding and prevention of air pollution through taking the hourly readings from 23 Develiot stations in the city of Sofia and overlaying them onto terrain map and 3d buildings layer (coming from Open Street Maps). Various open source / non-commercial tools are used for data preprocessing, analysis, and integration. The languages and data formats are explained. Implementation of the platform, transformation, integration, and visualisation of sensor, historical, and geolocation data are discussed in detail. Integrating 3d building reconstruction and triangulation of measurements for arbitrary points in the map are explained. Finally, the data flow from the sensors through the API, MongoDB database, Flask framework to the frontend web application is shown. Users can interact with the data, zoom in/out, rotate the view, and access additional information about specific data points. All elements of the map are interactive – clicking on the air quality stations domes gives the station details and measurements, selecting an OSM 3d building shows the semantic context (address, type of building, name in Bulgarian and English, owner, etc.). Double clicking on any point in map creates a triangulated marker. 2024-04-07 Conference or Workshop Item PeerReviewed text en https://repository.londonmet.ac.uk/9308/1/VV-41-Data%20Integration%20and%20Visualization%20of%20Air%20Quality%20in%20Urban%20Environment.pdf Sowinski-Mydlarz, Viktor, Vassilev, Vassil and Gasiorowski, Pawel (2024) Data integration and visualization of air quality in urban environment. In: 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2024), 6-7 June 2024, London Metropolitan University, London (UK) / Online. (In Press) |
| spellingShingle | 000 Computer science, information & general works Sowinski-Mydlarz, Viktor Vassilev, Vassil Gasiorowski, Pawel Data integration and visualization of air quality in urban environment |
| title | Data integration and visualization of air quality in urban environment |
| title_full | Data integration and visualization of air quality in urban environment |
| title_fullStr | Data integration and visualization of air quality in urban environment |
| title_full_unstemmed | Data integration and visualization of air quality in urban environment |
| title_short | Data integration and visualization of air quality in urban environment |
| title_sort | data integration and visualization of air quality in urban environment |
| topic | 000 Computer science, information & general works |
| url | https://repository.londonmet.ac.uk/9308/1/VV-41-Data%20Integration%20and%20Visualization%20of%20Air%20Quality%20in%20Urban%20Environment.pdf |
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