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Soil mapping was based on the soil profiles, integrated with the existent topographic map (1 25.000 scale), a digital elevation model, the geological map and a satellite image.
However, since this mapping was based on ICD-9-CM codes, and the more general/vague injury codes are the most likely to be unmappable, many of these injuries would have mapped to the lowest AIS and SCS categories.
T2 mapping was based on a multi-slice multi-echo (MSME) sequence with a series of 200 echo images a with different TE (range 5 937.5 ms); TR was set to 5000 ms, in-plane resolution was 313 × 313 μm2, the slice thickness was 1 mm, the number of excitations was 28; the total acquisition time was 13 h.
Statistical mapping was based on the General Linear Model [51].
The size of plume symbols used for mapping was based on the average radii of Fos plumes for that drug.
Genetic mapping was based on 94 individuals derived from a F1 Syrah X Pinot Noir cross where the latter was the pollen donor.
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Dynamic mapping is based on exploiting the information from previously computed alignments, helping to improve the mapping of subsequent reads.
The address mapping is based on this partitioning scheme.
Mapping is based on data handed over by Dr. Werner Kratz, Landesumweltamt Brandenburg.
SINR-to-SE mapping is based on adjusted Shannon functions specified in [31].
Our proposed mapping is based on the GPU features summarized in this section.
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