I calculated standard deviation for easch direction, according to horizontal distance.
I got these results:
standard deviation of direction in "
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
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_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.