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Precise Locations in Space: An Alternative Approach to Space Syntax Analysis using Intersection Points

机译:精确的空间位置:使用相交点进行空间语法分析的另一种方法

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Space syntax is a mathematically derived theory that provides a means of understanding the spatial configuration of a building from the perspective of the social interactions between inhabitants. The three conventional approaches to space syntax research are convex space, axial line and visibility graph analyses. These three procedures convert urban and architectural plans into, respectively, a series of defined spaces, lines of sight or visual locations. Once this has occurred it is possible to mathematically analyse the relationships between these elements. Unfortunately, these three methods for abstracting space do not allow for the analysis of precise locations in a plan without a computationally intense process, and many architectural theories seek to measure and debate such locations. However, there is an alternate, rarely discussed development of the axial line approach, which allows for the identification and efficient analysis of discrete locations within a spatial configuration. This approach, intersection point analysis, inverts the axial line map to create an intersection graph that can then be analysed using standard space syntax measures. This paper provides a worked example, using a series of hypothetical building plans, of the process of inverting an axial map to create an intersection graph and its subsequent mathematical analysis. The paper also discusses the potential applications of this approach in situations where alternative procedures would be either less informative or too computationally intensive.
机译:空间句法是一种数学派生的理论,它提供了一种从居民之间的社交互动的角度理解建筑物的空间配置的方法。空间句法研究的三种常规方法是凸空间,轴线和可见性图分析。这三个过程分别将城市和建筑平面图转换为一系列定义的空间,视线或视觉位置。一旦发生这种情况,就有可能对这些元素之间的关系进行数学分析。不幸的是,这三种抽象空间的方法不允许在没有计算密集型过程的情况下分析计划中的精确位置,并且许多建筑理论都试图测量和辩论这些位置。但是,还有一种替代的,很少讨论的轴向方法开发,它可以识别和有效分析空间配置中的离散位置。这种方法,即交点分析,将轴线图反转以创建交点图,然后可以使用标准空间语法度量对其进行分析。本文使用一系列假设的建筑计划,提供了一个工作示例,该示例反转了轴向图以创建相交图的过程及其后续的数学分析。本文还讨论了这种方法在替代程序的信息量较少或计算密集型的情况下的潜在应用。

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