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We highlight how these GIS developments have helped broaden society's engagement in conservation in Africa.

These GIS systems are, therefore, particularly well adapted to the representation of drinking water supply systems (Blindu 2004).

Interestingly, these GIs harbor many core genes, almost no HPs, and had a structure that could be repeatedly detected in closely related strains but also in different genera.

Based on these criteria 326 of 519 (62.8 %) of unique genes are located in the genomic islands of SCBI and as discussed below most of these GIs encode functions of potential biological relevance to the EPN lifestyle (Table  2).

These GIS maps are the most accurate maps available to date and are built upon the unique HIV prevalence datasets collected over a decade by the Royal Thai Army.

From these models, we obtained a set of GIS covariates that improved predictive accuracy compared to the referent model, and only these GIS covariates were considered in later stages of model selection.

Apart from studies of natural genetic variation, the use of these GIS approaches to identify species climatic envelopes and environmental tolerances could also have more direct applications of interest to crop scientists, for example the quantitative prediction and identification of wild germplasm likely to carry traits of agricultural value (see below).

Of these GIs, there are seven GIs located within unique regions in the L. santarosai serovar Shermani genome.

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Latent profile analyses (LPAs) were estimated from these GIS-based measures.

While not strictly based on administrative distinctions or precise neighborhoods, these GIS-based areas should represent a cohesive geographic area and are only used in the supplemental analysis.

However, few have evaluated these GIS-based traffic metrics against measured traffic-related pollutants (Brauer et al. 2007; Gauderman et al. 2005; Hoek et al. 2002; Nicolai et al. 2003).

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