Sentence examples for model of geographic from inspiring English sources

As a model of geographic speciation, the Drosophila willistoni group of flies offers the distinct advantage of exhibiting both stages of the speciation process.

For instance, Matt Seiler, chief executive of Mediabrands, which oversees media agencies like Initiative and Universal McCann, announced a reorganization that replaces the traditional model of geographic regions with clusters based on the economic status and potential of countries.

While this unexpected adverse effect of siRNAs has implications for future clinical trials, these findings also introduce a new preclinical model of geographic atrophy (GA), a late stage of dry AMD that causes blindness in millions worldwide.

Here, we employed partial Mantel correlations to assess the fit of the craniometric data to the six alternative models based on a null model of geographic distance, while correcting for temporal distance.

We propose a model of geographic differentiation followed by human-associated admixture, primarily between European and Asian populations and more recently between European and North American populations.

This could also possibly provide for a reasonable model of geographic evolution to understand acquisition of virulence in pathogenic bacteria over a period of time.

The objective of this chapter is to revisit the modeling of geographic features for knowledge engineering.

By incorporating climatic niche-based models of geographic distribution and statistical analysis of isolation versus migration in situations where reciprocal monophyly is unlikely, researchers can not only more effectively detect cryptic taxonomic diversity but can better understand the mechanisms that generate this diversity.

Even the proposed competing models of geographic speciation in the Indo-Pacific remain contentious and generally involve different facets of the classic dispersal or vicariance models for speciation.

To date, few population exposure assessments have incorporated multiple sources of data, specifically satellite pollutant estimates, LUR modeling of geographic characteristics, and information on proximity and pollution gradients, to estimate local-scale air pollution concentrations at a national scale.

Integrating spatial, environmental and genetic data into models of geographic disease etiology (ecogeographic genetic epidemiology) has recently been proposed as a new interdisciplinary pathway to understand the distribution and the determinants of diseases [ 1].