Sentence examples for close spatial similarity from inspiring English sources

The close spatial similarity in relative rates of long- and short-term erosion suggests that the gradient in rock uplift rates inferred from the landscape metrics across the PT2 has persisted in the same relative position since at least the past 1.5 Ma.

The present lack of greater close spatial similarity may be the result of elevated and increasing mobility within the US [50], so it would be interesting to analyze urban systems in other nations where these effects may have played out differently.

If station-based data are used, the evaluation should aim at incorporating several stations which exhibit close spatial correlation and which have large similarities in their climatic specifications.

For the loop closing constraints in particular, we first examine spatial similarity of the indoor magnetic field and verify that the use of measurement sequences rather than a single measurement mitigates the ambiguity of the magnetic measurements.

Moreover, the overall similarity of the primary leaves, together with the close spatial co-occurrence of the fossils, suggests that all seedlings belong to the same species, with the possible exception of Ba27, which is characterized by four leaves that are three-times bifurcated, whereas all other seedlings have two or three leaves, each of which twice bifurcate.

The ABCC6/ ABCC6P1 gene-pseudogene pair is unique in that (i) both components exhibit similar expression patterns, (ii) share the extensive similarity of their (putative) promoter regions and (iii) are positioned in close spatial proximity on chr.

Each node on the spherical lattice corresponds to a cluster of input vectors that lie in close spatial proximity within the original feature space, and neighbouring nodes on the lattice represent cluster centres with a high degree of vector similarity.

Using spatial similarity, the proposed method was robust against shadows.

Using spatial similarity, we measured the pixel similarity and eliminated background pixels.

In order to address these problems, we first computed the spatial similarity using the structural similarity method (SSIM).

s denotes pixels' similarity, c ξ, x) for spatial similarity, and k r (x) for result normalization.