Spatial Interpolation with Basemap into Multistatistical Concept of Pykrige(Unmasked/Masked Options)_Perfect solution by needs of especially Geoengineers!!!!!

You know that I presented  about a spatial interpolation solution established by single parameter(temperature) of a .shp file with Pykrige;


https://mybloginfrmtns.blogspot.com/2020/05/a-reference-application-for-engineers.html


This time,I will summary about spatial interpolation solution established based on multistatistical  on Basemap option of Matplotlib with Pykrige.

MULTISTATISTICAL DATA FILE:

PROGRAM:

Note.Where,you must consider to redframes for Unmasked/Masked options!!!




And,File Explorer summary of Spyder Console;

By the way,I sign about conditions for different variogram models considered during program iteration;

Conclusion of Unmasked Spatial Interpolation as one example(Gaussian);

And next,Masked Spatial Interpolations(Blue and White);

Also,we need to operation on vertical scaling.For this aim;

As evaluated,we considered by len(z1) into first example!!!Where,our main aim establishing to distribution with scaling by equal proportion of min-max values expressed on np.linspace procedure.Thus,upper code expresses that about distribution conclusions of a columnar scaling by 9 equal proportion into 0-4500 range.I summary for condition with linear of R_FACTOR among most clear presentations established as a example; 

Note.During this step,I noted some question marks that

• About Distribution Condition of a different parameter with addtional processes via statistical multiparameters
• About Censor Condition on some causes for presented datasheet

But,I have not to any informations about cause/causes as absolute...
Thus,I especially wait about answers of friends experimented for Geostatistics field

Thanks as a whole

Ekrem Erkuş
Geophysics Engineer