Sentence examples for varying relationships between from inspiring English sources

We argue that the spatially varying relationships between agricultural landscape patterns and urbanization are not accidental but nearly universal.

In conclusion, there are varying relationships between psychosocial factors from a demand control support model and mental, physical, and total dimensions of fatigue in registered nurses.

Our modelling results highlight a clear spatial structure underlying different scales of pottery density as well as locally varying relationships between pottery densities and several environmental variables.

Linear regression analyses showed that there were varying relationships between Russian wheat aphid density and spectral vegetation indices, with coefficients of determination (r2) ranging from 0.91 to 0.01.

This study used multivariate techniques and Geographically Weighted Regression to analyze statistical data at a village and sub-district, to explore the varying relationships between agricultural activities and urban economic activities, urban poverty and informality, as well as food security.

To move forward, this paper examined spatially varying relationships between agricultural soil trace metal contamination and landscape patterns at three block scales (i.e. 5 km × 5  km, 10 km × 10 km, 15 km × 15 km) in the Pearl River Delta (PRD), south China, using geographically weighted regression (GWR).

It also utilizes locus-specific P-values to account for the widely varying relationship between LOD score and P-value in the AIL population, which allows us to extend the utility of the method to genome-wide QTL analysis with appropriate genome-wide adjusted significance thresholds.

The spatially varying patterns of AOD-SMR association (i.e., both spatial clusters and outliers exist in the study area, although the clusters dominate) are partly due to the spatial varying relationship between AOD and PM2.5.

Delayed effects and a time varying relationship between the exposure and outcome variables were considered using generalized additive mixed models (GAMM) [ 29] or nonlinear distributed lag functions [ 15, 22].

Accordingly, research is needed to assess if the varying relationship between alcohol consumption and ischemic heart disease in different age groups results from biological differences in pathology or from differences in drinking patterns.

This is perhaps unsurprising given the complex and varying relationship between multiple sclerosis lesion load and a range of both pathological and functional metrics of disease severity and progression (Confavreux et al., 2003; DeLuca et al., 2006; Kremenchutzky et al., 2006; Scalfari et al., 2010).