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It is easy to account for the fact that it spread quickly west across Europe: agriculture will create population pressure, there were no big natural barriers to the spread of people, and although Europe was not so well endowed with the raw materials from which agriculture evolved, its temperate climate allowed it to flourish.
Thus, we not only create population estimates in time and space, but develop methods that can be extended to further explore telecommunication data and its application to the study of population.
To do that, we create population models based on our deterministic models (see below).
Demographic data may be used to create population sub-groups based on age, gender and location for the required date or duration.
Furthermore, the selection of model parameters to create population samples for variability predictions could lead to parameter value combinations that are not biologically reasonable.
With appropriate exclusions and adjustments for differences from the Census, New Zealand's NHI can be used as a denominator in public health research, and can be matched to other data sources by address to create population cohorts.
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We then used these data to create population-level resource utilization functions and predict intensity of use of lesser prairie-chickens across our study area.
In addition, several other issues, e.g., communication between populations, overlapping search, the way to create populations, detection of changes, and local search operators, should be also addressed.
Given that CNV-formation rate is considerably higher than the mutation rate for single base pairs [27], it is advisable to create population-specific priors to account for varying degrees of genetic diversity.
We used the Tanita analyzer's inbuilt equations for an estimate of percentage trunk fat (indicating central adiposity), because it had not been possible to create population-specific prediction equations for segmental body regions.
We then intersected these intervals with the coordinates of annotated genes to create population-specific lists of candidate genes containing ROHs (see Additional file 1: Table S7 for a list of genes).
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