Formally, we extend the notation of FCMs to express the value of a concept i at time t in a location v ∈ V by Ci, t, v.
The set of patients that can be reached within r2 time units by a vehicle located at location j ∈ W is denoted by V j 2, t.
For each trait, an LRT value was calculated at each cM to compare the fit of two models (i.e. the model with a QTL at the location considered vs the model without fitting any QTL effect).
The new number of vehicles to be placed at location j will be randomly drawn from the interval min v j lp 1, v j lp 2, max v j lp 1, v j lp 2, where v j lp refers to the number of vehicles currently located at location l according to location pattern lp.
where v i is the speed of pedestrian i at location r → i and time t.
Thus, the GWR model rewrites the OLS model as follows: (1) y j = β 0 u j, v j + ∑ i = 1 y β i u j, v j x ij + ϵ j where u j and v j are the coordinates for each location j, β0 (u j, v j ) is the intercept for location j, and β i (u j, v j ) is the local parameter estimate for explanatory variable x i at location j.
Figure 6 Zonal-vertical distributions of V′ and θ′ at location y = 1,000 m.
Thus, these results in the large-domain simulation are consistent with those in section 'Microscale eddies induced by turbulent thermal flux (case B)'. Figure 15 Zonal-vertical distributions of V′ and θ′ at location y = 1,000 m.
The static stabilities are calculated from the experiments under the condition U Z = 0 m · s 1 · km 1 at (a) 360 min for case B3, (b) 190 min for case B4, (c) 650 min for case B4, and (d) 360 min for case B5. Figure 12 Zonal-vertical distributions of V′ and θ′ at location y = 1,000 m.
If applicable at location.
