Sentence examples for a spatial distance from inspiring English sources

They require a large number of data and the definition of a spatial distance for the characterisation of spatial correlations.

A Spatial Distance Join (SDJ) based feature selection method (SDJ-FS) is developed to extend the concept of Correlation Fractal Dimension (CFD) to handle both feature relevance and redundancy jointly for supervised feature selection problems.

The initial and the final points of each trajectory are recorded, together with the path length and some intermediate points at a spatial distance of 2 km or at a time distance of 30 seconds.

Attracting the local population to the urban core is achieved by utilizing traditional design elements in an exclusive housing district while at the same time creating a spatial distance from migrant communities and their lifestyles.

For details the reader is referred to the entry on spacetime: inertial frames, but the general idea is that although a spatial distance is well-defined between any two simultaneous points of this spacetime, only the temporal interval is well-defined between non-simultaneous points.

As a result more vertical growth was observed, resulting in a pillar-like structure with a featured diameter of 35 40 nm and a spatial distance of about 65 70 nm (Fig. 9). Figure 10a shows the 3D-RGD nano-pillar array, where 10 12 pillar heads coalesced to form an integrin receptor site at a distance of around 125-150 nm.

Its essence is to create a spatial distance-based relationship matrix called a kernel.

A spatial distance-based kernel non-parametric regression is capable of mapping genotypes to phenotypes in a way that accurately reflects underlying, albeit unknown, relationships.

A simulation study [ 18] found that in the presence of non-additive effects, a spatial distance-based kernel can outperform an additive genomic relationship kernel in predictive performance, but this has not been explored thoroughly with real data.

Ridge regression has received some attention in quantitative genetics in the context of mixed linear models [ 10, 15, 21- 24], and the non-parametric version is carried out by constructing a spatial distance-based relationship matrix called kernel, as opposed to using additive genomic relationship kernels, A or G, which only embed correlations due to additive genetic effects.

Variogram represents the degree of spatial dependence of a spatial random field or stochastic process and reflects a feature's variation along a certain spatial distance in a spatial field [ 27].