Case study:
Data City: Integration and visualisation of spatial and socio-economic
data in an urban context
Data set 1; the urban fabric
This data set represents the built form
in the area.
The method we used to build the model was
to form the topography of the urban blocks and streets, to form the buildings
as simple rectangular volumes, and to map onto the building volumes the
digital photographs of the street facades.
We used a wide-angle lens to take digital
photographs of the facades of the buildings and rectified the distortion
caused by perspective angles using Photoshop. We then mapped the rectified
digital photographs onto the building volumes.
The overall effect is convincing if one
does not magnify the model too much. To achieve a higher level of accuracy
in positioning the photos we would have had to use a 50mm lens to take
the photographs. The problem then is that we would have needed approximately
1000 photos to cover the area and a great amount of time to join them
together and map them to the 3D model.
Fig. 11 Data set 1, urban fabric, looking from North East
Fig. 12 Data set 1, urban fabric looking from South West
Fig. 13 Data set 1, urban fabric, looking from North West
Fig. 14 Data set 1, urban fabric, looking from South East