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Three-Dimensional Visualisation of Spatially Dispersed Phenomena on the Example of the Eduroam Wireless Network Signal Analysis in the University Building Cover

Three-Dimensional Visualisation of Spatially Dispersed Phenomena on the Example of the Eduroam Wireless Network Signal Analysis in the University Building

Quaestiones Geographicae
Volume 44 (2025): Issue 1 (March 2025)
By: GrzeGorz Górniak and  Mieczysław Kunz  
Open Access
|Feb 2025

Figures & Tables

Fig. 1.

Spatial model of the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń prepared at the LoD3 level in Trimble SketchUp and arcGIS Pro.
Spatial model of the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń prepared at the LoD3 level in Trimble SketchUp and arcGIS Pro.

Fig. 2.

Measurement levels used in the study and selected relative and absolute heights (m a.s.l.).
Measurement levels used in the study and selected relative and absolute heights (m a.s.l.).

Fig. 3.

Network Signal Info Pro application workspace with frequency and strength presentation of detected wireless networks in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building.
Network Signal Info Pro application workspace with frequency and strength presentation of detected wireless networks in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building.

Fig. 4.

The process of collecting and processing data to obtain the final geovisualisation.
The process of collecting and processing data to obtain the final geovisualisation.

Fig. 5.

Visualisation of Eduroam wireless network signal strength distribution on different measurement levels.
Visualisation of Eduroam wireless network signal strength distribution on different measurement levels.

Fig. 6.

Spatial distribution of Eduroam wireless network signal strength variation in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building presented using the point method with symbol size as a graphical variable.
Spatial distribution of Eduroam wireless network signal strength variation in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building presented using the point method with symbol size as a graphical variable.

Fig. 7.

Spatial distribution of Eduroam wireless network signal strength variation in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building presented using the point method with colour intensity as a graphical variable along with selected statistical measures.
Spatial distribution of Eduroam wireless network signal strength variation in the Faculty of Earth Sciences and Spatial Management at Nicolaus Copernicus University in Toruń building presented using the point method with colour intensity as a graphical variable along with selected statistical measures.
DOI: https://doi.org/10.14746/quageo-2025-0004 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
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Language: English
Page range: 57 - 70
Submitted on: Jul 15, 2024
Published on: Feb 7, 2025
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
cartographic visualisation,
3D model,
3D GIS,
Eduroam,
Wi-Fi
Related subjects:
Geosciences,
Geography

© 2025 GrzeGorz Górniak, Mieczysław Kunz, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.

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