EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS
In this paper various schemes for visualizing geo-spatial data such as Computational Fluid Dynamics (CFD) data are explored. The architecture of a new Smart Cities Platform is presented and examples of the visualization capabilities are given. Results show that scalar and vectorial measurands, such...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-09-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/157/2020/isprs-annals-VI-4-W2-2020-157-2020.pdf |
| _version_ | 1818304745704521728 |
|---|---|
| author | S. Schneider T. Santhanavanich A. Koukofikis V. Coors |
| author_facet | S. Schneider T. Santhanavanich A. Koukofikis V. Coors |
| author_sort | S. Schneider |
| collection | DOAJ |
| description | In this paper various schemes for visualizing geo-spatial data such as Computational Fluid Dynamics (CFD) data are explored. The architecture of a new Smart Cities Platform is presented and examples of the visualization capabilities are given. Results show that scalar and vectorial measurands, such as wind pressure and wind directions, may be presented using the same schemes, however, interpretation of the visualization varies between measurands. A <i>hex-grid</i> representation of the highly dense point cloud data yields easier interpretation of the scene as do streamlines for visualizing a path of flow over and around buildings. Results of performance evaluations suggest that the same visualisation scheme (e.g. <i>hex-grid</i>) but different data formats, yields faster loading times when using 3D Tiles rather than GeoJSON and an overall smoother interaction within the application. |
| first_indexed | 2024-12-13T06:15:35Z |
| format | Article |
| id | doaj.art-2d2ba998f2be4c8b89387c3e6b482361 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-13T06:15:35Z |
| publishDate | 2020-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-2d2ba998f2be4c8b89387c3e6b4823612022-12-21T23:56:58ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502020-09-01VI-4-W2-202015716310.5194/isprs-annals-VI-4-W2-2020-157-2020EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDSS. Schneider0T. Santhanavanich1A. Koukofikis2V. Coors3University of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, GermanyUniversity of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, GermanyUniversity of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, GermanyUniversity of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, GermanyIn this paper various schemes for visualizing geo-spatial data such as Computational Fluid Dynamics (CFD) data are explored. The architecture of a new Smart Cities Platform is presented and examples of the visualization capabilities are given. Results show that scalar and vectorial measurands, such as wind pressure and wind directions, may be presented using the same schemes, however, interpretation of the visualization varies between measurands. A <i>hex-grid</i> representation of the highly dense point cloud data yields easier interpretation of the scene as do streamlines for visualizing a path of flow over and around buildings. Results of performance evaluations suggest that the same visualisation scheme (e.g. <i>hex-grid</i>) but different data formats, yields faster loading times when using 3D Tiles rather than GeoJSON and an overall smoother interaction within the application.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/157/2020/isprs-annals-VI-4-W2-2020-157-2020.pdf |
| spellingShingle | S. Schneider T. Santhanavanich A. Koukofikis V. Coors EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS |
| title_full | EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS |
| title_fullStr | EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS |
| title_full_unstemmed | EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS |
| title_short | EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS |
| title_sort | exploring schemes for visualizing urban wind fields based on cfd simulations by employing ogc standards |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W2-2020/157/2020/isprs-annals-VI-4-W2-2020-157-2020.pdf |
| work_keys_str_mv | AT sschneider exploringschemesforvisualizingurbanwindfieldsbasedoncfdsimulationsbyemployingogcstandards AT tsanthanavanich exploringschemesforvisualizingurbanwindfieldsbasedoncfdsimulationsbyemployingogcstandards AT akoukofikis exploringschemesforvisualizingurbanwindfieldsbasedoncfdsimulationsbyemployingogcstandards AT vcoors exploringschemesforvisualizingurbanwindfieldsbasedoncfdsimulationsbyemployingogcstandards |