In the univariate analyses for men, lower social capital was significantly related to higher mortality in one general trust variable, all generalised reciprocity variables and four social network variables.
It was observed that the results for the social interactions and generalised trust variables were somewhat consistent across the outcome variables.
Focussing on heavy episodic drinking as an outcome variable, the same general findings are evident for our examination of social interactions and generalised trust variables in relation to the frequency of engaging in heavy episodic drinking.
Furthermore, to address the simultaneity issue, we used the average value of the social interaction and generalised trust variables by excluding own contribution to predict the likelihood of heavy episodic drinking.
The results showed that, except for social support, the estimated coefficient for the social interactions and generalised trust variables at the community level have little effect on engaging in heavy episodic drinking.
In the covariate adjusted multiple imputation analysis, only one lower social network response related to higher mortality (having no friends: HR = 1.81 (95%CI = 1.02-3.23)), while findings for one generalised reciprocity variable (listen to someone's concerns) and one social network variable (leisure) were marginally not significant.
Of particular relevance is perhaps the estimation of a phase variable of the gamma responses: this does represent a challenge as gamma responses are distinctly broadband phenomena, i.e. these are not necessarily akin to the classical concept of oscillations characterised by a single peak frequency, and therefore the extraction of a (generalised) phase variable is non-trivial.
While generalised tendencies for variables emerged, the specific role of variables could vary widely between farms.
In addition to the best feasible operating conditions, which are the original outcome, the framework also provides a controllability index involving all of the output variables (generalised integral absolute error, GIAE) and the expected variation of profit on disturbance rejection dynamics.
Morphology is related to land use by applying a supervised classification with the urban metrics as variables and generalised land-use categories as target classes.
