Wu Liang, Gong Chi, Yan Xin
The School of Economics, Sichuan University, 29 Wangjiang Road, Chengdu 610065, People's Republic of China.
R Soc Open Sci. 2019 Mar 13;6(3):180770. doi: 10.1098/rsos.180770. eCollection 2019 Mar.
As one of the few generalities in ecology, Taylor's power law admits a power function relationship = between the variance and mean number of organisms in a quadrat. We examine the spatial distribution data of seven urban service facilities in 37 major cities in China, and find that Taylor's Law is validated among all types of facilities. Moreover, Taylor's Law is robust if we shift the observation window or vary the size of the quadrats. The exponent increases linearly with the logarithm of the quadrat size, i.e. () = + log (). Furthermore, the ANOVA test indicates that takes distinct values for different facilities in different cities. We decompose into two different factors, a city-specific factor and a facility-specific factor (FSF). Variations in can be explained to a large extent by the differences between cities and types of facilities. Facilities are more evenly distributed in larger and more developed cities. Competitive interchangeable facilities (e.g. pharmacy), with larger FSFs and smaller s, are less aggregated than complementary services (e.g. restaurants).
作为生态学中为数不多的一般性规律之一,泰勒幂定律承认样方中生物数量的方差(s^{2})与均值(m)之间存在幂函数关系(s^{2}=am^{b})。我们研究了中国37个主要城市中七种城市服务设施的空间分布数据,发现泰勒定律在所有类型的设施中都得到了验证。此外,如果我们移动观测窗口或改变样方大小,泰勒定律是稳健的。指数(b)随样方大小的对数线性增加,即(b(z)=b_{0}+b_{1}\log(z))。此外,方差分析表明,(b)在不同城市的不同设施中取不同的值。我们将(b)分解为两个不同的因素,一个是特定于城市的因素,另一个是特定于设施的因素(FSF)。(b)的变化在很大程度上可以由城市和设施类型之间的差异来解释。设施在更大、更发达的城市中分布更均匀。具有较大FSF和较小(b)值的竞争性可互换设施(如药店)比互补性服务(如餐馆)聚集程度更低。