pure eye-candy

As part of the UrbanIT research project I've been co-opted into at UNSW, I've been writing some code to 'visualize' the contents of various databases holding information about the built environment. To be very brief, the aim of the project is to integrate the existing disparate data-sets that are out there to create a single unified view of the urban environment. So, you may have data on (say) the energy efficiency of different buildings, the cost of maintaining those buildings, the price of those buildings, etc etc. All this data is tucked away in different databases and you need (essentially) an integration layer sitting on top to, well, integrate it all. Once you do this, you can do relatively complex spatial queries across multiple data sources. Convert the output to KML and you get some pretty pictures like this:



This is a mashed-up visualization of two seperate queries -- one asking for the buildings within 60m of a particular lat/long, coloured by their main use (commercial:blue, industrial:red,residential:green,other:grey). The second is a query on a particular residential building with the individual apartments coloured by their estimated value (warmer colours == more expensive apartments).

Sorry, I cant provide the KML itself, as the data associated with the buildings shown in the picture is pretty rich, and is confidential.