dstl/Stone-Soup: v1.0 Release

Breaking changes:

• Drop Python 3.7 support, and remove references to beta #808 (sdhiscocks)
  • New minimum Python version 3.8

Implemented enhancements:

• Plotting Improvements #795 (gawebb-dstl)
• Add a Schmidt-Kalman version of the Kalman Updater #794 (jmbarr)
• Add log weight property to Particle State #791 (sdhiscocks)
• Add animated variation of plotterly #789 (mharris-dstl)
• Modify SystematicResampler to enable down/upsampling #786 (timothy-glover)
• Create regulariser object and MCMC particle regulariser #785 (timothy-glover)
• Created RadarBearing and RadarRotatingBearing Sensors #778 (timothy-glover)
• add k-d tree tutorial and update tree sub-module #771 (rcgorman-dstl)
• Add track stitching class and example. #764 (spike-dstl)
• Added an example within the documentation for custom readers supporting pandas DataFrames. #707 (BenjaminFraser)

Fixed bugs:

• Enable Forward Declaration of Type Hints for Properties #806 (orosoman-dstl)
• Fix np.mean for StateVectors #788 (sdhiscocks)
• Add is_clutter_detectable method to sensors #787 (jswright-dstl)
• Cast noise_covar value to a CovarianceMatrix when initialising a MeasurementModel #775 (gawebb-dstl)

Documentation updates:

• Fix issue with kD-tree example not building #807 (sdhiscocks)
• Change track stitching example initiator #804 (sdhiscocks)
• Add multi_tracker_example #790 (mharris-dstl)

Other changes:

• Create sampler module and gaussian mixture sampling function #793 (timothy-glover)
• Use temporary file for FITS Reader tests #777 (sdhiscocks)
• Implement multi-frame assignment algorithm #568 (joldf)