My pieces since 2008 on the notion of a "population cluster bomb" go into more depth.
By 2001, just 14% of Australians lived outside "urban" areas, which the ABS defines as a "population cluster" of 1,000 people.
Echoing a piece I wrote in the first month of this blog, back in 2007, the editors describe a world of population "cluster bombs".
In this paper, we discuss how choosing which population cluster to randomise can impact on the practicalities of recruitment in primary care.
STRUCTURE analyses estimated population cluster membership proportions that aligned with the patterns of variation suggested for each study population's currently inferred demographic histories.
Interestingly, a central population cluster was formed by Mexico City, Veracruz, the State of Mexico (Fig. 3), and Guanajuato, the latter displaying no differentiation with Mexico City.
However, this is inappropriate if it is desired to take a simple random sample of individuals from the population; cluster sampling generally involves varying chances of selection for the population members, rather than equal chances as required for a simple random sample.
Thus the age of a single population cluster can be measured by looking for the stars that are just beginning to enter the giant star stage.
It assumes that haplotypes in a population cluster into groups over a short region and allows cluster memberships to change continuously along the chromosome based on a HMM.
Plots of isolation by distance show that over the geographic areas covered by each population cluster there is no increase of genetic divergence with geographic distance, but genetic distances for inter-cluster locality pairs are much greater [19].
The plateau in patterns of the log Pr(X|K) around a K = 19, and the high posterior probabilities for K≥19, suggest an overall higher population cluster number.
