2026-04-13T06:46:54Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4461122024-12-20T04:30:59Zcom_2072_199267com_2072_4427col_2072_201036

00925njm 22002777a 4500 dc Corral, Á. author Udina, F. author Arcaute, E. author 2020-01-01 Using population data of high spatial resolution for a region in the south of Europe, we define cities by aggregating individuals to form connected clusters. The resulting cluster-population distributions show a smooth decreasing behavior covering six orders of magnitude. We perform a detailed study of the distributions, using state-of-the-art statistical tools. By means of scaling analysis we rule out the existence of a power-law regime in the low-population range. The logarithmic-coefficient-of-variation test allows us to establish that the power-law tail for high population, characteristic of Zipfs law, has a rather limited range of applicability. Instead, lognormal fits describe the population distributions in a range covering from a few dozen individuals to more than 1×106 (which corresponds to the population of the largest cluster). © 2020 American Physical Society. http://hdl.handle.net/2072/446112 10.1103/PhysRevE.101.042312 Truncated lognormal distributions and scaling in the size of naturally defined population clusters