This paper proposes and explains a type of diagrams which share some of the characteristics distinctive of axial maps, while also differing substantially in some other aspects. A main discussion in Space Syntax is the capacity of different diagrammatic representations to describe relevant morphological characteristics of space: convex maps or visibility graphs at the scale of buildings; axial maps and other topological representations of streets or roads at urban and geographic scales. The relevance of these representations is often assessed through the correlation of the different metrics they afford with empirical observations of real phenomena, such as the flow, circulation and presence of people in space. This has led to an instrumentalist understanding of representations and models through their capacity to produce measurements that may be empirically correlated, relegating other aspects to a secondary plane. In their “Space Syntax” paper from 1976, Hillier et al. outlined a research programme based on the proposition of morphic languages and their syntaxes; the collection of maps and diagrams proposed by Hillier and Hanson years later in “the Social Logic of Space,” including the axial map, carried further this programme of a science of diagrams and “morphic languages,” rather than one focused on metrics and their empirical correlations. This paper wants to reconsider some of these original characteristics of the representations of spatial configurations, through the proposition of a diagram and an algorithm to generate it. This diagram has been developed for its use in the comparison and classification of spatial configurations. Using data available from Open Street Map, the algorithm presented here builds a graph in which its vertices consist of straight paths on the original graph, and edges represent crossings or adjacencies of these straight paths. The process involves the implicit construction of what is known in graph theory as the line graph and a set of operations so as to derive the final graph ...


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    Title :

    Path Diagrams : Configurational descriptions from GIS data, an algorithm and its implications


    Contributors:

    Publication date :

    2019-01-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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