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Taylor’s power law and its decomposition in urban facilities
As one of the few generalities in ecology, Taylor’s power law admits a power function relationship V = aM(b) between the variance V and mean number M 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 Taylo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458378/ https://www.ncbi.nlm.nih.gov/pubmed/31031987 http://dx.doi.org/10.1098/rsos.180770 |
Sumario: | As one of the few generalities in ecology, Taylor’s power law admits a power function relationship V = aM(b) between the variance V and mean number M 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 b increases linearly with the logarithm of the quadrat size, i.e. b(s) = b(0) + A log (s). Furthermore, the ANOVA test indicates that b takes distinct values for different facilities in different cities. We decompose b into two different factors, a city-specific factor and a facility-specific factor (FSF). Variations in b 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 bs, are less aggregated than complementary services (e.g. restaurants). |
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