Hello, first of all great video, it was the only thing in the entire internet that brought a litte light in this topic for me! But could you tell me or give me a hint, regarding the generation of the random numbers? How can i generate them in respect to a given variogram function? Many thanks in advance!
You will need to take the variogram function and from that create a covariance table C. That table is size NxN, N the amount of grid cells. The entry C(i,j) is the covariance between grid cell i and grid cell j, which you can caclulate from the co-variance function C(h). Note that that: variogramfunction(h)=Variance-Covariancefunction(h)
When you mention the histogram in 4:20. Do you mean the histogram of the 100 hard data?
Greate video. Why we can use only simple kriging to conditional simulations? Would you share the topic about theoretical information about it?
Regards
Thanks for this video, it's really helpfull to understand simulation. I have one question, is the image at 22:49 taken by a book?
Hello,
first of all great video, it was the only thing in the entire internet that brought a litte light in this topic for me! But could you tell me or give me a hint,
regarding the generation of the random numbers? How can i generate them in respect to a given variogram function?
Many thanks in advance!
You will need to take the variogram function and from that create a covariance table C. That table is size NxN, N the amount of grid cells. The entry C(i,j) is the covariance between grid cell i and grid cell j, which you can caclulate from the co-variance function C(h). Note that that: variogramfunction(h)=Variance-Covariancefunction(h)
Bravo