Abstract

The distance between the data and conventional graphical representation (line graphs, pie, bar), subtraction urban context information impoverishing their reading and understanding of territory, therefore his chances of inference, which leads to the omission of information for lack of representation. The urban spatial referencing such data could accommodate a much more thorough examination of these to a deeper realization of Analysis, Diagnostics and Evaluations for the city and its transport system is, as this research focuses his gaze, looking promote the efficient functioning of this important player in the city urban. This research presents the early development of a ''Strategy for representing experimental urban data "and visualization, using a graphical editor graphics algorithmic " Grasshopper ", as well as investigate their impact and how these can glimpse useful criteria to consider in the implementation and urban design.