A method for evaluating the degree of spatial and temporal avoidance in spatial point patterns
A method for evaluating the degree of spatial and temporal avoidance in spatial point patterns
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DOI：
10.1007/s10109-022-00373-x
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发表时间：
2022-02-12
影响因子：
2.9
通讯作者：
Sadahiro，Yukio
中科院分区：
文献类型：
--
作者：
Sadahiro，Yukio
本文提出了一种评估空间点模式的时空回避程度的新方法。我们考虑随时间变化的点模式，其中点表示在特定位置出现、停留特定时间并最终可能消失的空间对象，例如城市中的建筑、田野中的植物和森林中的鸟巢。本文中的空间回避是指在稀疏空间中出现点而在稠密空间中消失的现象。空间回避经常导致分散的点模式，这在药店、加油站和动物洞穴的分布中可以观察到。时间回避指的是接近的点避免其生命周期重叠的现象。在猎物和捕食者、共享相同水资源的动物物种以及购物中心的餐馆之间的关系中，可以发现时间回避。本文提出了四种方法来评估回避的空间和时间模式。有两项措施从空间角度考虑回避，而另外两项措施侧重于回避的时间方面。为了检验该方法的有效性，本文将其应用于东京涉谷区便利店的分析。结果表明了该方法的有效性，并揭示了现有方法无法检测到的便利店避让的时空规律。
This paper develops a new method for evaluating the degree of spatial and temporal avoidance in spatial point patterns. We consider point patterns that change over time, where points represent spatial objects that appear at certain locations, stay there for certain periods, and may finally disappear, such as buildings in cities, plants in fields, and birds' nests in forests. Spatial avoidance in this paper refers to the phenomenon that points appear in sparse spaces while points disappear in dense spaces. Spatial avoidance often leads to dispersed point patterns, which are observed in the distributions of drug stores, gas stations, and animal burrows. Temporal avoidance refers to the phenomenon that close points avoid the overlap of their lifetime. Temporal avoidance is found in the relationships between preys and predators, animal species that share the same water resources, and restaurants in shopping malls. The paper develops four measures to evaluate the spatial and temporal patterns of avoidance. Two measures consider the avoidance from a spatial perspective, while the other two focus on the temporal aspect of avoidance. To test the validity of the proposed method, this paper applies it to the analysis of the convenience stores in Shibuya-ku, Tokyo. The results indicated the proposed method's effectiveness and revealed the spatial and temporal patterns of avoidance of convenience stores that existing methods cannot detect.