Sentence examples for distribution of counties from inspiring English sources

The spatial distribution of counties with high habitat suitability occur primarily in the Northeast, the Great Lakes region, and the Pacific Northwest (Figure 3).

The spatial distribution of counties with high probabilities of Japanese knotweed is aggregated in the Northeast, Great Lakes region, and Pacific Northwest (Figure 2).

However, west of the 90th meridian, the spatial distribution of counties with mugwort was no different than that expected for 100 years (1820 1920, Figure 1f).

After inspection of the resulting distribution of counties on the U.S. map we defined the following categories of concentrated spatial wealth: outlier poverty, extremely high poverty, very high poverty, high poverty, neither, high affluence and outlier affluence [ 26].

A map (from Wikipedia) of the 2008 caucuses shows an almost random-seeming distribution of county winners from among four Republican candidates, although you can make out a pocket of support for Senator John McCain in King County and around Puget Sound.

The spatial distribution of county resilience shows a generally spatially contiguous pattern.

Figure 1 illustrates the distribution of monitoring sites in the United States relative to the distribution of county populations and shows the significant overrepresentation of urban counties among the monitoring population relative to the distribution of all counties in the United States.

The county number used by the CPH nomenclature corresponds to the distribution of county names prior to 1994 whereby Wales was divided into 8 counties: Powys, Gwynedd, Dyfed, Clwyd, South Glamorgan, Mid Glamorgan, West Glamorgan and Gwent.

Because controls were matched across counties for different water district controls, it is not possible to compare the distribution of county of residence between cases and controls; this is shown for descriptive purposes only.

The effects of varying model assumptions of individual O3 impacts are shown in Figure 4, which plots the median, 10th percentile, and 90th percentile of the distribution of county percent changes in mortality under each set of assumptions.

Second, the spatial distribution of insurable counties was characterized and finally, their correlation coefficients were analyzed at various spatial scales.