Pyinterpolate

* (enhancement) `interpolate_raster()` function takes `allow_approx_solutions` parameter, and it protects from `LinAlgError` that might occur if interpolation points are duplicated (due to the floating point number representation).
* (refactoring) `calc_point_to_point_distance` function refactored to `point_distance`, changed input parameters' schema,
* (refactoring) new selection method for unequally spaced bins: `select_values_between_lags`
* (debug) `np.float` type casting has been changed to `float`

* (feature) `to_tiff()` function which writes kriging output from the `interpolate_raster()` function to `tiff` and `tfw` files,
* (debug) `safe` theoretical variogram models,
* (enhancement) `model_types` parameter can be string only (in the future the name of this parameter will be changed),
* (dependencies) fixed dependencies (`hdbscan` and `scikit-learn`),
* (enhancement) updated tutorials, we slightly changed their structure,
* (dependencies) End of support for Python 3.7,
* (invalid) Warning when user tries to use `.plot()` method of the `ExperimentalVariogram` class,
* (invalid) Default `direction` and `tolerance` are `None` instead of floats,
* (invalid) Removed unnecessary warning from the `.autofit()` method.

Welcome to the new release of Pyinterpolate!

This release brings multiple new functionalities:

* Cluster detection with DBSCAN,
* Cluster aggregation,
* Gridding algorithm,
* Grid aggregation,
* Theoretical Variogram calculates Spatial Dependence Index,
* Indicator Kriging,
* `Blocks` and `PointSupport` read all files supported by `GeoPandas`.

The package is stable now, and future changes will focus on the speed and the new spatial interpolation algorithms.

* (enhancement) added logging to Poisson Kriging ATP process,
* (test) added functional test for `smooth_blocks` function,
* (debug) too broad exception in `download_air_quality_poland` is narrowed to `KeyError`,
* (enhancement) log points that cannot be assigned to any area in `PointSupport` class,
* (enhancement) `transform_ps_to_dict()` function takes custom parameters for lon, lat, value and index,
* (test) `check_limits()` function tests,
* (test) plotting function of the `VariogramCloud()` class is tested and slightly changed to return `True` if everything has worked fine,
* (tutorials) new tutorial about `ExperimentalVariogram` and `VariogramCloud` classes,
* (test) new tests for `calculate_average_semivariance()` function from `block` module,
* (enhancement) function `inblock_semivariance` has been optimized,
* (docs) updated `__init__.py` of `variogram.theoretical` module,
* (enhancement) scatter plot represented as a swarm plot in `VariogramCloud`,
* (enhancement) added directional kriging for ATA and ATP Poisson Kriging,
* (debug) warning for directional kriging functions,
* (enhancement) initialization of `KrigingObject` dataclass,
* (ci/cd) added new workflow tests for MacOS and Ubuntu,
* (enhancement) added logging to Simple Kriging process.

- (enhancement) Directional Centroid-based Poisson Kriging,
- (debug) Added origin (unknown point) to calculate directional Kriging and directional Centroid-based Poisson Kriging,
- (docs) Directional Ordinary Kriging tutorial,
- (engancement) logging of area to area PK function,
- (enhancement) tests package moved outside the main package,
- (feature) ordinary kriging from covariance terms,
- (feature) area-to-area PK from covariance terms,
- (debug) area-to-area PK debugged,
- (feature) area-to-point PK from covariance terms,
- (debug) area-to-point PK debugged,
- (feature) centroid-based PK from covariance terms,
- (debug) centroid-based PK debugged.
- updated and debugged directional variograms,
- updated and debugged Ordinary Kriging and Simple Kriging,
- faster Directional Variogram calculations.