DataverseLabs/pyinterpolate

dev

pyinterpolate

Grade	Name	Churn	Issues
A	docs\build\html\usage\tutorials\Directional Semivariograms (Basic).html	26	-
A	docs\build\html\usage\tutorials\How good is our Kriging model - test it against IDW algorithm (Basic).html	26	-
A	docs\build\html\usage\tutorials\Ordinary and Simple Kriging (Basic).html	26	-
A	docs\build\html\usage\tutorials\Outliers and Their Influence on the Final Model (Intermediate).html	26	-
A	docs\build\html\usage\tutorials\Poisson Kriging - Area to Area (Advanced).html	26	-
A	docs\build\html\usage\tutorials\Poisson Kriging - Area to Point (Advanced).html	26	-
A	docs\build\html\usage\tutorials\Poisson Kriging - Centroid Based (Advanced).html	26	-
A	docs\build\html\usage\tutorials\Semivariogram Estimation (Basic).html	26	-
A	docs\build\html\usage\tutorials\Semivariogram Regularization (Intermediate).html	26	-
A	docs\build\html\setup\setup.html	27	-
A	docs\build\html\usage\good_practices.html	27	-
A	docs\build\html\usage\quickstart.html	27	-
A	pyinterpolate\__init__.py	28	-
A	docs\build\html\api\idw\idw.html	28	-
A	docs\build\html\api\io\io.html	28	-
A	docs\build\html\api\variogram\block\block.html	28	-
A	docs\build\html\community\community.html	28	-
A	docs\build\html\science\biblio.html	28	-
A	docs\build\html\science\cite.html	28	-
A	docs\build\html\usage\tutorials.html	29	-