v0.2.0

Bug fixes

Issue Ref	Summary	Description
[No Ref]	Wrong weighting formula in experimental variography	Update formula in experimental variography
[No Ref]	Wrong slicing experimental variography	Update slicing formula in experimental variography
[# 91]	Refactoring and vectorization of Neighbourhood	Euclidian Distance not working in which_in_ball(). Fix which_in_ball() distance call
[# 112]	Variogram plotting does not start at origin = (0, 0)	Fix plot formula of variogram
[# 128]	Wrong reshaping of values in display grid	Fix plot formula in diplay_grid()
[# 129]	Bad angles handling for covariance and neighorhood models	Change anisotropy formula in Covariance and Neighborhood objects
[# 137]	Anamorphosis class creation impossible with gauss score	Fix typographic error in Anamorphosis class creation
[# 139]	Improving Uniform Conditioning algorithm	When panel empty, NaN resulting value raises error in the final result computation. Change NaN values to non conditional values

Enhancements

Issue Ref	Summary	Description
[No Ref]	Improve variogram autofitting constraints	Constraints added: fixed value, min/max, expression
[# 90]	Implement Custom Neighbourhood with min and max number of samples	Creation of MinMaxPointsNeighborhood object
[# 91]	Refactoring and vectorization of Neighbourhood	Add which_in_parallelepied(). Enable to check if a point lies within a parallelepiped
[# 110]	Print information using Logger standards	Replace use of print() function by logging library. Replace every print() call by logging python library call. Creates dedicated print() function for Covariance objects
[# 115]	Change output create_mplcontour_from_grid from mpl contour to polygon object	Output of create_mplcontour_from_grid was a matplotlib contour ans is now a Polygon object
[# 116]	Advanced Kriging outputs	Kriging slope of regression and Kriging efficiency. Two advanced optionnal outputs allowing quality control of kriging results
[# 119]	Variography plot enhancements	Allow multiple variogram plots with readable lables on the right side
[# 139]	Improving Uniform Conditioning algorithm	Uniform conditioning now performed on a grid of panels, was on a specific panel before

New Features

Issue Ref	Summary	Description
[# 9]	Compositing	Compositing of drillholes with multiple options: composit length, dealing of the residual, block drillholes to a certain elevation
[# 11]	Declustering weight	Two declustering methods: cell_declustering() and moving_window_declustering()
[# 20]	Get concave polygon of points set	Bounding Polygon from points in a pandas.DataFrame. Created polygon lies between concave and convex geometries depending on an alpha parameter
[# 22]	Find duplicates in drillhole set	Function allowing to label drillhole closer to each other than an input radius
[# 63]	Select points from polygon	Filter points from pandas.DataFrame that lies within a provided Polygon. Operation is done by chunk in order to avoid memory issue
[# 114]	Polygon Object creation	Basic implementation of polygon object and succint import/export functions. Create Polygon object inherited from GeometricalObject. Polygon object has pandas.DataFrame and a CRS (Coordinate Reference System).
[# 126]	Implement IDW estimator	New estimating function idw()
[No Ref]	Conditional Expectation	New estimationg function ce(). Indicator estimator ore() and metal()
[No Ref]	Uniform Conditioning	New estimationg function uc_on_grid(). Indicator estimator ore_metal()
[No Ref]	Conditional Simulations	New estimating function of block simulations using turning bands methods