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Message:
> Hello Micha, > I calculated standard deviation for easch direction, according to horizontal distance. > > I got these results: > > standard deviation of direction in " > [pre]distance value from distance value to standard deviation of direction in " > 0 20 80 > 20 30 60 > 30 40 42 > 40 60 28 > 60 70 21 > 70 100 15 > 100 120 10 > 120 150 7[/pre] > > I have small distances in network, so I got these results. For example, if distance is between 0m and 20m, standard deviation of direction is 80" etc. > How to define that in stochastic model - martix P, since I have various weights for almost each direction. For distance weights, I have no problem to define. > For this calculation I used formula > σ_α=arcsin((σ_DV×√n)/(d[mm]))×ρ" > > σ_D is standard deviation of points (needed to be) > n - number of directions from one point to destination points in network configuration > d - distance in mm > > > Is that possible to define in JAG, or I need to use some averaged value (in this case of various distance, averaged value wont respresent network model satisfactory) > > I hope that you can help me. > Best regards, > Zaklina
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