[Development plan] This issue gathers all TODOs identified during transition from Pyinterpolate 0.x to 1.x

[SimonMolinsky]

This issue gathers all TODOs identified during transition from Pyinterpolate 0.x to 1.x

Every TODO should have it's own issue before development:

• core.data_models.blocks.py: if MultiPolygon is passed into the Blocks class then representative point should be picked from the larges area (as an option) - solves problem of islands or countries with exclaves #478
• core.data_models.blocks.py - Blocks.transform_crs(): test transformations, copying and inplace ops #480
• core.data_models.point_support.py - test what happens when block id is NaN, geometry is NaN or other columns are NaN #487
• core.data_models.point_support.py - check what happens when name of index or columns is None
• core.data_models.poisson_kriging.py - store Block columns and PointSupport-Neighbors columns in separate dataclasses
• core.data_models.poisson_kriging.py - add verbose parameter to PoissonKrigingInput class #512
• core.data_models.poisson_kriging.py - select only points in the same direction in PoissonKrigingInput._prepare_kriging_input() method
• core.pipelines.block_filter.py - allow user to set 0s when predicted value is below 0 (dangerous!) #515
• distance.block.py - _calculate_block_to_block_distance() - add reference equation to the documentation
• evaluate.cross_validation.py - use new publication for z-score calculation
• evaluate.cross_validation.py - create tutorial
• evaluate.cross_validation.py - validate areal kriging methods
• idw.idw.py - use IDW as a benchmark in validation
• kriging.block.area_to_point_poisson_kriging.py - move some steps to other functions (line 94)
• kriging.block.area_to_point_poisson_kriging.py - transform loop into a function
• kriging.point.indicator.py - four helper methods
• semivariogram.deconvolution.deviation.py - track regularized semi variances, test non zero cases
• semivariogram.deconvolution.inblock.py - multiprocessing / multithreading profiling
• semivariogram.deconvolution.regularize.py - deviation decrease condition - further investigation
• semivariogram.experimental.classes.variogram_cloud.py - set maximum number of bins in histograms
• semivariogram.experimental.functions.general.py - reverse equation using covariance instead of semivariance
• semivariogram.experimental.experimental_variogram.py - include custom weights! x2 #471
• semivariogram.indicator.indicator.py - fill out missing DOI #476
• semivariogram.theoretical.classes.theoretical_variogram.py - give examples of TheoreticalVariogram class in the docstring
• transform.select_poisson_kriging_data.py - create new function selecting pk data using different variables
• tests.test_kriging.point_kriging_ds.dataprep.py - check if specific function is used anywhere #469
• tests.test_semivariogram.test_experimental_variogram_point_cloud.py - create tests for plotting
• manage distances calculation for filtering and smoothing operations
• optimize speed and memory usage (this issue must be performed in steps, and every function and process must be optimized).
• include universal kriging in the new version