Sentence examples for variables in the formation of from inspiring English sources

Thus, in the agricultural dwelling district zone, most of the urban biophysical variables excluding the total building footprints were identified as highly determinant variables in the formation of UHIs.

Using a parcel as a unit of analysis, this study proposed to use a machine learning approach to identify important variables in the formation of urban heat islands in Indianapolis, Indiana.

Many previous UHIs research used number of rental units, parcel size, total number of house units, and total number of mobile home in the consideration of social vulnerability, however this study found with the application of RF method, these four variables are the least important variables in the formation of UHIs in the CBD district of Marion County, Indiana.

The main contribution of this study is twofold: to integrate urban physical and socioeconomic characteristics into a land parcel for the better interpretation of the result of urban heat islands study into planning practice and to apply machine learning approach to identify highly determinant variables in the formation of urban heat islands.

In accordance with this uniqueness, the maximum building height and the average building height were identified as highly determinant variable in the formation of UHIs (Fig. 11).

The selection of the variables improved or weakened for this sensitivity analysis was based on how important these variables are in the formation of PCs (see Table 4).

These motivational variables culminate in the formation of behavioural intentions (e.g., 'I intend to exercise twice a week').

This rather modest percentage of explained variance seems to suggest that there are still a number of other variables involved in the formation of children's levels of courage.

Variables included in the three principal components were also included in the 14 variables selected by the RF method, excluding the total number of mobile home variable which identified as the least important variable in explaining the formation of UHIs by the RF method (Table 3).

As shown in Table 3, six of the sixteen independent variables participate substantially in the formation of the dependent variable's variability, at a significance level of 0.10: four market factors and two policy factors.

As can be seen from Table 3, four of the sixteen independent variables substantially participate in the formation of the dependent variable's variability, at a significance level of 0.10.