Sentence examples for explicit analyses of the from inspiring English sources

Explicit analyses of the soil pattern using digital soil mapping techniques will be applied for model validation.

Spatially explicit analyses of the dynamics of deforestation in Indonesia are needed to support sustainable land use planning but the value of such analyses has so far been limited by data availability and geographical scope.

We performed additional and more explicit analyses of the relative signals from red algal genes in heterokont genomes, and whether they are shared between diatoms and oomycetes.

Today, discussion over who we are as Californians and how we see ourselves in each other remain concerns that are excluded from the explicit analyses of movement strategists across the power-building landscape.

Explicit analyses of power capability with multiple constraints are elaborated, specifically the state-of-energy is considered in power capability assessment.

Here, we demonstrate how spatially explicit analyses of genetic diversity can be utilized to study geographic differences in the potential for reassortment in multipartite plant viruses.

The practical approach used in this study allows for explicit analyses of trade-offs between small reductions in fisheries – in a spatially strategic manner – and large gains for marine conservation through spatial protection.

Spatially explicit analyses of ecosystem services are needed by policy-makers.

In this paper, explicit analyses of local buckling of rectangular orthotropic composite plates with various unloaded edge boundary conditions (i.e., (1) rotationally restrained along both unloaded edges (RR), and (2) one rotationally restrained and the other free along the unloaded edges (RF)) and subjected to uniform in-plane axial action at simply-supported loaded edges are first presented.

We are unaware of spatially explicit analyses of amphibian endemic patterns, although several authors have suggested that higher concentrations of endemics should be found in montane regions [ 43- 45].

We developed a predictive framework to identify potential geographic hot spots of reassortment based upon spatially explicit analyses of genome constellation diversity.