In the first step you created the semivariogram with the primary variable from Walker Lake Analog DEM (grid data). In further in COSGSIM the primary data whitch you used was from Sample Data DEM (point set). My questions is: 1. Why did not you model the semivariogram for Sample Data DEM (point set)? 2. Why did you use Z1 (Sample Data DEM - point set) to primary data witch COSGSIM algorythm? This is different type of data. I don't understand why did you use different the primary data to COSGSIM algorythm.
in my case, the primary (Z1) is radon data, had high varying data and the secondary (Z2) is lineament/structure data, had slow varying data. Is it right if I used MM2 for this case?
if the secondary exhaustive, but primary is less data, How to make the coef. of correlation between the primary and secondary? I am confused with this problem
Good explanation about collocated simulation using MM2. Now I am doing my research using cokriging MM2 algoritm, but I have a problem, sir. When I try to run algoritm, an error notification is appear.. The message detailing error appear from that field, at field the secondary hard data Grid, that message said "for MM1 and MM2 options, the secondary data must be defined on the simulation grid" can you help me to fix that problem? or you can make video about SGEMS COLLOCATED COKRIGING USING MMII?
In the first step you created the semivariogram with the primary variable from Walker Lake Analog DEM (grid data). In further in COSGSIM the primary data whitch you used was from Sample Data DEM (point set).
My questions is:
1. Why did not you model the semivariogram for Sample Data DEM (point set)?
2. Why did you use Z1 (Sample Data DEM - point set) to primary data witch COSGSIM algorythm?
This is different type of data. I don't understand why did you use different the primary data to COSGSIM algorythm.
Goodmorning, it's possible to use cokriging with 3 attributes simultaneously on this software?
@Julio Johnny cokrigin is better than games of thrones
in my case, the primary (Z1) is radon data, had high varying data and the secondary (Z2) is lineament/structure data, had slow varying data. Is it right if I used MM2 for this case?
yes in that case you would use MM2, but you secondary data should be exhaustive too
if the secondary exhaustive, but primary is less data, How to make the coef. of correlation between the primary and secondary? I am confused with this problem
Good explanation about collocated simulation using MM2. Now I am doing my research using cokriging MM2 algoritm, but I have a problem, sir. When I try to run algoritm, an error notification is appear.. The message detailing error appear from that field, at field the secondary hard data Grid, that message said "for MM1 and MM2 options, the secondary data must be defined on the simulation grid" can you help me to fix that problem? or you can make video about SGEMS COLLOCATED COKRIGING USING MMII?
I can only comment on theory questions