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Category: analysis

RealUrban3D London data, OS OpenData & OpenStreetMap data playing nice in ArcScene & CityEngine

RealUrban3D London data, OS OpenData & OpenStreetMap data playing nice in ArcScene & CityEngine

ArcMap_OSOpendataRoads_OpenStreetMapBuilding_RealUrban3DLondonOkay I can tell you hate the overly wordy title, but there you go, I like to mix things up a bit, but I think I may have gone to far here.

  1. RealUrban3D London model
  2. OS OpenData for streets centre lines
  3. OpenStreetMap building footprints
  4. Analysis in ArcScene
  5. Visualisations and webscene production in CityEngine (to be fair I could do the webscene export in ArcScene with the new toolbox)

Why?  because I can.  Okay, there is a serious point here and that is data and GIS are a messy chaotic business (they shouldn’t be but they are).   We don’t get things in neat formats always and just because you can’t see a reason why I’m using OpenStreetMap and OS OpenData together that doesn’t mean there isn’t a reason.

Up close, see it fits! It fits! Hurrah!

After combining the data CityEngine handles the various elements, here I’m using the centre lines for creating roads (graph networks in CityEngine).  Then I’ve put the resulting model back into ArcScene for some flashy but ultimately not that useful ‘line of sight’ and ‘skyline’ tools.

Skyline Barrier created in ArcScene, visualised via CityEngine export to webscene (looks pretty but what is it telling us?


Each window in the awful (but CityEngine generated) tower block has been made a viewpoint and the Skyline analysis was run…


You may have noticed my fascination with CyberCity3D/RealUrban3D data, well I’ve got a post about that coming, but basically I’m advising them in a consultant capacity….

3D Data visualisation ArcGIS to CityEngine

3D Data visualisation ArcGIS to CityEngine

Another quick post as I’ve been experimenting for a project with data from ArcGIS, simple stuff like using a spatial join to count points within polygons. But here CityEngine allows you to quickly model that data in 3D,  I didn’t write a special rule for this I used one I already had and where there was a height attribute in the rule file I joined it to my simple count attribute in the imported polygon layer.

Hexagons are the only way to visualise this stuff honestly... :)
Hexagons are the only way to visualise this stuff honestly… 🙂

This type of visualisation helps us to understand the urban core and where there are higher concentrations of shops.  In the image above we had a survey done of the number and location of shops in a defined area within a city core in Iraq.    Simple numbers but difficult to sometimes interpret on a 2D map.   The hexagon polygons are fairly coarse here I’ll probably make them smaller when it comes to finalising the work…

The end result may well be one of those webscenes that CityEngine produces so well.