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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

GrzeGorz Górniak

GrzeGorz Górniak

Department of Geoinformation and Environmental Remote Sensing, Nicolaus Copernicus University in ToruńToruń, Poland
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Górniak, GrzeGorz
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Mieczysław Kunz

Mieczysław Kunz

Department of Geoinformation and Environmental Remote Sensing, Nicolaus Copernicus University in ToruńToruń, Poland
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Kunz, Mieczysław
  
07 feb 2025
Three-Dimensional Visualisation of Spatially Dispersed Phenomena on the Example of the Eduroam Wireless Network Signal Analysis in the University Building's Cover Image
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Pubblicato online: 07 feb 2025
Pagine: 57 - 70
Ricevuto: 15 lug 2024
DOI: https://doi.org/10.14746/quageo-2025-0004
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© 2025 Grzegorz Górniak et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

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.
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Geoscienze, Geografia
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