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TESTING THE IMPACT OF 2D GENERALISATION ON 3D MODELS – EXPLORING ANALYSIS OPTIONS WITH AN OFF-THE-SHELF SOFTWARE PACKAGE 3D GeoInfo 2018 Delft, Netherlands Session 4+ EuroSDR/Volta session 3D Geoinformation for National and Cadastral Mapping Agencies II Monday, 1 st October Estibaliz Muñumer Herrero 1 Claire Ellul 1 Jeremy Morley 2 1 Department of Civil, Environmental & Geomatic Engineering, University College London 2 Ordnance Survey, UK

��1 Estibaliz Mu�umer Herrero - Presentation66 Testing t… · Title: ��1 Estibaliz Mu�umer Herrero - Presentation66 Created Date: 10/11/2018 9:04:38

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Page 1: ��1 Estibaliz Mu�umer Herrero - Presentation66 Testing t… · Title: ��1 Estibaliz Mu�umer Herrero - Presentation66 Created Date: 10/11/2018 9:04:38

TESTING THE IMPACT OF 2D GENERALISATION ON 3D MODELS – EXPLORING ANALYSIS OPTIONS WITH AN

OFF-THE-SHELF SOFTWARE PACKAGE

3D GeoInfo 2018Delft, Netherlands

Session 4+ EuroSDR/Volta session3D Geoinformation for National and

Cadastral Mapping Agencies IIMonday, 1st October

Estibaliz Muñumer Herrero 1

Claire Ellul 1

Jeremy Morley 2

1 Department of Civil, Environmental &Geomatic Engineering, University College

London2 Ordnance Survey, UK

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What is the impact of 2D generalisation on the results of 3D line-of-sight and shadow-casting algorithms?

Introduction Data Analyses Discussion Conclusions

3D GENERALISATION• Transition (detail > coarse) automatically? • Different detail levels <> different applications?• 3D model: efficient and reusable.• 3D generalisation commercial algorithms?

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Introduction Data Analyses Discussion Conclusions

1) Original 2) Aggregated (1 m)

3) Simplified (1 m)

4) Simplified (5 m)

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Introduction Data Analyses Discussion Conclusions

1) Original

4) Simplified (5 m)

3D byextrusion

No. Polygons reduced

by 81.82 %

No. Nodesreduced

by 83.12 %

3D Volumereduced

by 7.91 %

Data reduction

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Introduction Data Analyses Discussion Conclusions

1) Original 4) Simplified (5 m)

3D Volumereduced

by 11.58 %

6.32xfaster

processing

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Introduction Data Analyses Discussion Conclusions

Visible areaincreased

by 19.81 %

7.82xfaster

processing

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Introduction Data Analyses Discussion Conclusions

What is the impact of 2D generalisation on the results of 3D line-of-sight and shadow-casting algorithms?

• 2D generalisation and extrusion: loss of detail [~8% vol.]• Performance improvement in the spatial analyses [~6-8x].• Decreased shadow volume [~11%].• Increased visible area for line of sight [~20%].• Potential of displaying larger 3D datasets.• Lack of commercially available 3D generalisation tools.

5G antennas

Solar panels

Use case scenario Detailed requirements ONE size does NOT fit all

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Introduction Data Analyses Discussion Conclusions

• Importance of 3D generalisation algorithms.• Impact of detail – vs – generalised: • Room for further improvement.• Limitations of the software.• Generation of robust tools.• ArcGIS Pro.

Analysis

Performance

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Estibaliz Muñumer HerreroPhD Student

Department of Civil, Environmental & Geomatic EngineeringUniversity College London

[email protected]