Sentence examples for individual gis from inspiring English sources

Of the airport proxies, 'distance to the airport terminal' was most highly associated with measured NO2 in regressions including individual GIS covariates and session (Table 4).

These linear combinations reduce the covariate space to a much smaller dimension and can then be used as the mean structure in a LUR or universal kriging model in place of individual GIS covariates.

In fact, in models only including session and individual GIS variables (i.e., Table 4), the wind-weighted covariates demonstrated marginally weaker associations with NO2 concentrations for Class 2 and Class 3 roadways, with a modest improvement for Class 1 roadways that did not enhance multivariate model performance.

The size of individual GIs ranged from 10too 436 kb (389 kb per genome on average, considering the marine genomes only).

A functional promotor variant, several other SNP genotypes or alleles as well as rare mutations were associated with AD in several independent samples, predominantly in individuals with GIS [ 14, 16, 71].

If more than 30% of samples showed low concordance of individual precursor ratios to GIS, ratios were evaluated individually for each peptide for confirming trend observed in exploratory phase but were not allowed to be evaluated using statistical tests.

Samples with low concordance between individual precursor ratios to GIS (i.e., RSD was higher than 20%) were excluded from statistical analysis.

When we used standardized measures to compare the three scores we indeed found a more pronounced effect of individual SGS and similar effects of area-aggregated SGS and the GIS-based index score.

In our study, the association between the original (unstandardized) GIS-index score and neighborhood satisfaction was similar to the association with individual SGS while the association with area-aggregated SGS was more pronounced.

A concordance of final individual total precursor ratios to GIS was assessed in these cases.

The integration of the model in a GIS together with individual data on addresses, sex, age, migration, and information from routine health statistics (Danish Cancer Registry) proved its usefulness in demarking the exposed population and identifying the cancers related to that population.