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License: MIT License
An uncondition random field generation tools that are easy to use
License: MIT License
Add optional arguments max_neighbors, z_min, z_max to control the generated value. (Eliminate the unusual realizations which include extreme value)
Add options for user to adjust the plotting style
Fix badge of codecov and python version in readme
Use pytest.mark.parametrize to refactor the test code and add more test case
Now the sgsim adopt the random path for each realizations. Add an option to use constant path to run the simulations.
make simple_kriging funciton to -> prediction, simulation, ordinary_kringing, simple_kriging
Consider to clear the .dll and .so in repository
When inappropriate combinations of parameters are used for sgsim and cov_model, sgsim runs in an infinite loop
This can be done as an extension package (other project) to keep low package dependency
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