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Beniamino Murgante

Third International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"

Tecnología Empresariales

Geospatial Modelling of Urban Security: A novel approach with Virtual 3D City Models Markus Wolff, Hartmut Asche 3D Geoinformation Research Group, University of Potsdam ICCSA | Perugia | July 2008

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0 Presentation overview

1 Introduction

Cities at risk ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1 Introduction

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Cities at risk the Berlin case 1 Introduction

[object Object],Cities at risk the Berlin case 1 Introduction ,[object Object]

2 Populating existing city models

[object Object],[object Object],[object Object],[object Object],[object Object],Integrating thematic information 2 Semantic extension of geodata base

[object Object],Integrating thematic information 2 Semantic extension of geodata base ,[object Object]

[object Object],Populating the city model Frequency data provided by FAW 2 Semantic extension of geodata base ,[object Object]

[object Object],Populating the city model Frequency data provided by FAW 2 Semantic extension of geodata base ,[object Object]

[object Object],Populating the city model 2 Semantic extension of geodata base ,[object Object],[object Object]

3 Analysing urban risk exposure

[object Object],[object Object],[object Object],[object Object],Mapping levels of urban threat exposure 3 Geoanalysis of urban risk exposure assumed increased highly increased threat level Buildings shopping centres embassies petrol stations consulates police posts government offices power/transformer stations

[object Object],Mapping levels of urban threat exposure 3 Geoanalysis of urban risk exposure ,[object Object]

Mapping levels of urban threat exposure ,[object Object],3 Geoanalysis of urban risk exposure value of closest exposed building: embassy grid, e.g., contains distance cell values of closest buildings: embassies, consulate offices etc. ,[object Object],[object Object]

Mapping levels of urban threat exposure ,[object Object],3 Geoanalysis of urban risk exposure distance from exposure basis building [m] level 0 to 25 1 > 25 to 50 0.5 > 50 to 100 0.2 >100 to 200 0.1 >200 0 ,[object Object]

[object Object],Mapping levels of urban threat exposure grid weight embassies 4 consulates 4 shopping centres 2 petrol stations 1 government offices 4 police posts 1 power or transformer stations 1 3 Geoanalysis of urban risk exposure ,[object Object],[object Object],[object Object]

[object Object],Mapping levels of urban threat exposure 3 Geoanalysis of urban risk exposure ,[object Object]

[object Object],Mapping levels of urban threat exposure 3 Geoanalysis of urban risk exposure ,[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],Visibility analysis for specific buildings 3 Geoanalysis of urban risk exposure

4 Conclusion

Summary ,[object Object],[object Object],[object Object],[object Object],4 Conclusion

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Speaker and Affiliation Project Information

Thank you for your attention! Questions? Comments? Feedback? Contact: Markus.Wolff@hpi.uni-potsdam.de Visit our website: www.3dgi.de

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GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...

GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...

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Garden in motion. An experience of citizens involvement in public space regen...

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GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...

GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...

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Beniamino Murgante

Murgante smart energy

Murgante smart energy

Murgante smart energy

Beniamino Murgante

Informazione Geografica, Città, Smartness

Informazione Geografica, Città, Smartness

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Beniamino Murgante

Fino alla fine degli anni '80 un urbanista che cercava di supportare dei ragionamenti di piano con l'informatica riusciva ad ottenere, nel migliore dei casi, qualche dato statistico sulla popolazione. Con il trascorrere degli anni si è assistito ad un incremento dell'utilizzo delle tecnologie per la costruzione dei quadri conoscitivi a supporto del processo di piano, fino a raggiungere l'attuale Information Explosion Era. Il contenuto dell'intervento si baserà su aspetti teorici ed applicativi a partire dall'esperienza di Ian McHarg fino all'ultima "moda" delle Smart Cities. Introduzione Andreina Maahsen-Milan Università di Bologna Tecnologie, Territorio, Smartness Beniamino Murgante Università della Basilicata Facoltà Ingegneria Edile di Ravenna - Università di Bologna Via Tombesi dall'Ova 55, 48121 Ravenna

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Tecnologie, Territorio, Smartness

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

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BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

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08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

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Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

How to convert PDF to text with Nanonets

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08448380779 Call Girls In Greater Kailash - I Women Seeking Men

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GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Partners Life - Insurer Innovation Award 2024

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Boost PC performance: How more available memory can improve productivity

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Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Powerful Google developer tools for immediate impact! (2023-24 C)

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Powerful Google developer tools for immediate impact! (2023-24 C)

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

Wolff3 D

1. Geospatial Modelling of Urban Security: A novel approach with Virtual 3D City Models Markus Wolff, Hartmut Asche 3D Geoinformation Research Group, University of Potsdam ICCSA | Perugia | July 2008

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3. 1 Introduction

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7. 2 Populating existing city models

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13. 3 Analysing urban risk exposure

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22. 4 Conclusion

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25. Thank you for your attention! Questions? Comments? Feedback? Contact: Markus.Wolff@hpi.uni-potsdam.de Visit our website: www.3dgi.de