Add to Collection
Tools Used
About

About

The project may be described as a working investigation into the generative potential of data mapping in the application of urban growth systems.… Read More
The project may be described as a working investigation into the generative potential of data mapping in the application of urban growth systems. Through the analysis of existing topographies based on proximity to water sources, curvature (‘hilliness’), and the distance to existing inhabitation, datascapes were derived that related directly to the extant landscape and provided a means of evaluation for potential site development and usage. These datascapes were weighted according to a qualitative assessment and using galapogas (an evolutionary solver) ‘near-optimal’ loci [note: using an evolutionary solver as opposed to finding the exact locus introduces a desirable ‘fuzziness’ to the system] were identified and subsequently mapped to create a ‘virtual terrain’. It is through the creation of this ‘virtual terrain’ that secondary derivatives were derived that informed topological connections, allocations of program and density distribution. The framework of the system is flexible enough so that it may be used to generate growth strategies in response to either intensified site utilisation or the creation of new neighbourhoods – that is, take into account the temporal dimension of urban development. Ultimately we believe there is strong potential for further research and refinement of this system, firstly through more rigorous data mining according to cultural or geographical particularities (for example, soil composition, extant site vegetation, orientation) and secondly by means of greater synthesis between the ‘virtual landscape’ (inc. secondary derivatives) and the master planning aspect of the project. Read Less
Published: