ABSTRACT

The contrast of space and place has long been an active topic of scholarly discussions in many disciplines. While spatial analysis enjoys a multitude of quantitative methods, the study of place remains mostly conceptual and descriptive. This paper expands upon the rich concepts of place in the literature to propose a quantitative framework for placial analysis based on events. Central to the proposed framework are three assumptions: (1) human experiences transform space to place; (2) events build human experiences in space; and (3) places emerge organically and may change characters, spatial extent and location over time through the shifts in occurrences and types of events in space and time. The proposed framework consists of three elements: clustering events, decomposing event distributions, and identifying the similarity of event clusters. We applied the framework to identify criminological places in the City of Dallas in the United States and the changes of these places from 1 June 2014 to 30 May 2018.

摘要

长期以来，空间与地点的对比一直是许多学科中学术讨论的活跃话题。尽管空间分析采用了许多定量方法，但对地点的研究仍主要是概念性和描述性的。本文扩展了文献中丰富的场所概念，为基于事件的场所分析提出了定量框架。拟议框架的核心是三个假设：（1）人类经验将空间转化为空间；（2）事件建立了人类在太空中的经验；（3）地点通过时间和空间事件的发生和类型的变化而有机地出现，并可能随时间变化特征，空间范围和位置。所提出的框架包括三个要素：聚类事件，分解事件分布以及识别事件聚类的相似性。