Sentence examples for maps is much from inspiring English sources

Using methods from statistical learning theory to develop digital soil maps is much more efficient and precise while regionalising soil diagnostic properties instead of complex entities such as the soil units assigned by the WRB.

While many still wouldn't consider replacing Google Maps on their phone, Apple Maps is much better today.

Second, the procedure to establish robust maps is much less prone to errors than the simple approach used for uSNPs.

By contrast, images resulting from stimulation with horizontal stripes moving vertically (elevation maps) were much more variable and did not span all elevations examined (see below). Figure 5 shows an example of an activation patch obtained in the visual wulst.

Although the reproducibility for both DArT and AFLP was very high, the frequency of double crossovers in the final maps was much lower for DArT than for AFLP markers (0.24% compared to 0.96%), indicating the superior reliability of the DArT markers.

Most first-generation maps are much longer than the second-generation map reported here and, of course, have much lower densities of markers.

Maps are much smoother compared with the common pattern posterior maps, with many non-significant areas for most PPH, bearing out the important effect of the shared component.

The MAR coefficients although unbounded, do not have the normalization problem of PDC and that is why their maps are much more consistent.

As shown in the middle row of Figure 6, the FA maps are much more consistent when Type 1 and Type 2 artifacts are removed with the k-space energy-anchored acquisition and multischeme partial-Fourier reconstruction, respectively.

Interestingly, markers with very strong linkage localized in the very high marker density area of LG9 for the Clementine and sweet orange maps were much farther apart in 'Chandler' and 'Pink' pummelos.

This mapping is much easier if the classification provide "is-a-kind-of" relations (such as CIM10 or ATC): in this case, only the more general terms of the classification need to be mapped, and then inheritance can be used to associate an icon to the more precise terms, since VCM is not precise enough to distinguish all terms.