Category: 3D

3D Map of Nitrogen Dioxide Pollution

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Air pollution has long been a problem in London, and the current mayor has identified pollution as one of his major goals to highlight and tackle polluion, and improve the capital’s air quality during his time in charge. This map, of the modelled 2020 annual pollution levels of NO2, has been produced by Parallel, using […]

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3D, air, air pollution, air quality, atmosphere, clean, data, dirty, laei, nitrogen dioxide, NO2, parallel, pollution

Bauerkeller’s New Embossed Plan of London 1842

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Is this London’s first 3D map? The vivid and historic map of London in 1842, coloured by district, has one unusual feature – it’s embossed. The photos here (taken of the copy in The Map House dealership in Knightsbridge) are from the framed copy that hangs in The Map House and the directional lighting from […]

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1842, 3D, Bauerkeller, colourful, embossed, Historic, Map House, The Map House

Stickcrowd modelling

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Commuting by train (if you’re lucky enough to get a seat) offers all sorts of opportunities for frivolous coding adventures (code-mmuting?). Having watched Andy Hudson-Smith’s review of Softimage crowd simulation.. … I decided to see how quick it would be (2 hours) to do something similar with stickmen, and at the same time develop a […]

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3D, modelling, processing

A Semester with OpenSim

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Over the last few months I have been teaching a class in the Department of Computational Social Science entitled “Building Virtual Worlds” where we surveyed the role of virtual worlds for social science research. The emphasis of the class was on tools, software frameworks, and applications of virtual worlds.  On the applications side we discussed how virtual worlds are being used for History, Archeology, Healthcare, Tourism, Urban Modeling, Architecture, Agent-based Modeling along with more generally teaching and learning. We explored a variety of tools for building virtual worlds before focusing on OpenSim. The movie below shows some of the final outputs using OpenSim.
We used OpenSim 0.7.3, configured with the Standalone-Hypergrid mode and a SQLite database hosted on a Windows 7 server. The server simultaneously simulated 64 different regions, and at various points during the semester the server hosted well over 15000 primitives (prims) and ran hundreds of scripts across this landscape; one region alone hosted over 8000 prims. 
Why so many regions? We were interested in how many the server could cope with but also we wanted to have a virtual world representing the whole of the GMU Fairfax campus  (~4km2) and regions in OpenSim are limited to 256m by 256m. We built the terrain for the campus utilizing the National Elevation Dataset (NED) DEM from the United States Geological Survey which was first manipulated in ArcGIS before being processed in  L3DT (Large 3D Terrain Generator). Finally, the DEM was imported into OpenSim. The movie below should give a sense of what the basic terrain looks like.
Once the terrain was built, we populated it with buildings, however, we were not just interested in the external appearance of the buildings but also there internal structure for modeling and simulation purposes.  Therefore the class focused their attention on building a highly detailed Johnson Center.
Model of Johnson Center taken from Google SketchUp 3D Warehouse
Vector based, 2D CAD files were obtained and imported into Google SketchUp before using SketchLife to build the 3D initial building core, walls, doors and windows.

Constructing a vector-based model of the Johnson Center internal structure
The SketchLife final rendering of the Johnson Center
Once built in SketchUp using SketchLife the model was imported into OpenSim 

External view “in world” of what we accomplished in building the Johnson Center
In addition to using SketchLife for the JC, many objects such as chairs, staircases and tables were either built using the tool or those native to OpenSim.
An “in world” shot at ground level, on the 1st floor, viewing the atrium and clock tower
 in the Johnson Center
CSS class photo “in-world”
However, our work with OpenSim does not stop here, below is another movie of some ongoing work with one of our PhD students, Chris Rouly who is creating agent-based models embedded in OpenSim to explore past habitats among many other things.
I would like to thank the “Building Virtual Worlds” class and the Department for enabling this blog post.

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3D, CSS, Digital Earths, OpenSim

A Semester with OpenSim

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Over the last few months I have been teaching a class in the Department of Computational Social Science entitled “Building Virtual Worlds” where we surveyed the role of virtual worlds for social science research. The emphasis of the class was on tools, software frameworks, and applications of virtual worlds.  On the applications side we discussed how virtual worlds are being used for History, Archeology, Healthcare, Tourism, Urban Modeling, Architecture, Agent-based Modeling along with more generally teaching and learning. We explored a variety of tools for building virtual worlds before focusing on OpenSim. The movie below shows some of the final outputs using OpenSim.
We used OpenSim 0.7.3, configured with the Standalone-Hypergrid mode and a SQLite database hosted on a Windows 7 server. The server simultaneously simulated 64 different regions, and at various points during the semester the server hosted well over 15000 primitives (prims) and ran hundreds of scripts across this landscape; one region alone hosted over 8000 prims. 
Why so many regions? We were interested in how many the server could cope with but also we wanted to have a virtual world representing the whole of the GMU Fairfax campus  (~4km2) and regions in OpenSim are limited to 256m by 256m. We built the terrain for the campus utilizing the National Elevation Dataset (NED) DEM from the United States Geological Survey which was first manipulated in ArcGIS before being processed in  L3DT (Large 3D Terrain Generator). Finally, the DEM was imported into OpenSim. The movie below should give a sense of what the basic terrain looks like.
Once the terrain was built, we populated it with buildings, however, we were not just interested in the external appearance of the buildings but also there internal structure for modeling and simulation purposes.  Therefore the class focused their attention on building a highly detailed Johnson Center.
Model of Johnson Center taken from Google SketchUp 3D Warehouse
Vector based, 2D CAD files were obtained and imported into Google SketchUp before using SketchLife to build the 3D initial building core, walls, doors and windows.

Constructing a vector-based model of the Johnson Center internal structure
The SketchLife final rendering of the Johnson Center
Once built in SketchUp using SketchLife the model was imported into OpenSim 

External view “in world” of what we accomplished in building the Johnson Center
In addition to using SketchLife for the JC, many objects such as chairs, staircases and tables were either built using the tool or those native to OpenSim.
An “in world” shot at ground level, on the 1st floor, viewing the atrium and clock tower
 in the Johnson Center
CSS class photo “in-world”
However, our work with OpenSim does not stop here, below is another movie of some ongoing work with one of our PhD students, Chris Rouly who is creating agent-based models embedded in OpenSim to explore past habitats among many other things.
I would like to thank the “Building Virtual Worlds” class and the Department for enabling this blog post.

Continue reading »
3D, CSS, Digital Earths, OpenSim