Sentence examples for sample spatial from inspiring English sources

This preparation allows for studying the painting cross-section with a good preservation of the sample spatial structures (Figure 7b).

Factors affecting the performance, including sampling design, sample spatial distribution, data quality, correlation between primary and secondary variables, and interaction among factors, are discussed.

For the investigations presented here only samples A and D have been used Sample Spatial wavelength Depth of turning marks Surface roughness A 1.5 μm 20 nm 6.49 nm B 6 μm 60 nm 19.91 nm C 3.5 μm 20 nm 7.63 nm D 6 μm 20 nm 6.51 nm E 6 μm 10 nm 4.99 nm F 25 μm 60 nm 16.4 nm.

We denote the field-dependent XDM images by (varvec{X}left( {varvec{r},varvec{E}} right),) then ICA performs the following decomposition: varvec{X} varvec{r},varvec{E}) = mathop sum limits_{i = 1}^{N} varvec{A}_{i} (varvec{r} S_{i} (varvec{E}), (1 where r = (x,y) are the sample spatial positions, A i are column vectors of the mixing matrix A, and S i are the independent sources or components (IC).

Targeting characters and taxa within specific lineages can further enhance the detection of evolutionary patterns which, when combined with sample spatial data, enables precise epidemiological tracking of disease, even for pre-historical events.

The formation of the HD circuit must therefore occur during a period when the animal's ability to sample spatial features of their environment is greatly restricted by limited mobility and rudimentary sensory input [ 7, 8, 10].

The general goal is to observe what real, highly resolved, sample spatial-bivariate correlation looks like when it is well-quantified in naturally-occurring sedimentary aquifers.

In the method of deterministic geostatistics (sensu Isaaks and Srivastava, 1988), highly-resolved data sets are used to compute sample spatial-bivariate statistics within a deterministic framework.

When sampling spatial units, the achievement of a so called spatially balanced sample (SBS), i.e., a sample in which units are well spread throughout the survey area, has been the main target for a long time.

Sampling designs compared are simple random sampling, spatial coverage sampling, and universal kriging model-based sampling.

Optimal designs of sampling spatial locations in estimating spatial averages of random fields are considered.