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mmaelicke / scikit-gstat

Geostatistical variogram estimation expansion in the scipy style
https://mmaelicke.github.io/scikit-gstat/
MIT License
223 stars 52 forks source link

adding RSS and RMS #176

Closed sebasmos closed 8 months ago

sebasmos commented 8 months ago

Contributions:

included and tested the metrics RSS and RSM, it is suggested in the reference below

Reference:

Oliver, M. A., & Webster, R. (2015). Basic steps in geostatistics: the variogram and kriging (No. 11599). Cham, Switzerland: Springer International Publishing.

Link: https://link.springer.com/book/10.1007/978-3-319-15865-5

codecov[bot] commented 8 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (60a6ea5) 90.74% compared to head (6308149) 90.77%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #176 +/- ## ========================================== + Coverage 90.74% 90.77% +0.02% ========================================== Files 23 23 Lines 2475 2482 +7 ========================================== + Hits 2246 2253 +7 Misses 229 229 ```

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mmaelicke commented 8 months ago

Thanks again. Just published as 1.0.16 on PyPI.