Autonomous Spatial Redistribution for Cities

Abstract

The paper investigates an automated methodology for the appropriate redistribution of usable space in distressed areas of inner cities. Through categorising activity space and making these spaces morphologically mobile in relation to the topography within a representative artificial space achieve this. The educational module has been influenced by theories from the natural environment, which possesses patterns that have inherent evolutionary programmes in which the constituents are recyclable; Information is strategically related to the environment to produce forms of growth and behaviour. Artificial landscape patterns fail to evolve, the inhabited landscape needs a means of starting from simplicity and building into the most complex of systems that are capable of re-permutation over time. This paper describes the latest methodological development in terms of a shift from the use of the computer as a tool for data manipulation to embracing the computer as a design partner. The use of GDL and VRML in particular are investigated as facilitator’s for such generation within a global, vector environment. Keywords; Animated, Urban, Programme, Education. Visual Database