Steven Hiscocks

The outline does look better I think, as makes it clear where the boundary of each measurement is. I'd be interested in ways you could show association to which track,...

Yeah, this is unfortunately expected behaviour, but not desirable. There is an issue with the multi-measurement initiator which doesn't work well with different mixture types, due to logic based on...

I agree with comments from @jmbarr here in regards to plotting errors around measurements would not really be representative of the distribution.

Hi @ajland. So thought was more on the `inverse_function`. For example: https://github.com/dstl/Stone-Soup/blob/a890a748f937112c7c6cd827492b0b55a1d9ca6d/stonesoup/models/measurement/nonlinear.py#L289-L300 I think this need to be changed to something like this (not tested): ```python def inverse_function(self, detection, **kwargs)...

Hi @ghamsarimah. Do you have more details on the issue you are having, or what your trying to achieve? If you are looking to reduce difference between track and measurement,...

Opened a new issue here as raised by @gawebb-dstl, as this is true for a number of functions, so better to review them all and update as separate PR.

> It's an aesthetic detail but it got me to think about the logic behind the plotters implementation. Can you please clarify what the intended strategy is? Shouldn't all the...

One option is to set [PYTHONHASHSEED](https://docs.python.org/3/using/cmdline.html#envvar-PYTHONHASHSEED), which can also set to `0` to disable randomisation completely. (This has security implications, but probably not applicable in case of just running experiments)...

> Disable hash seed may not be the best idea since we don't know how this library is used by others. Agree, I meant this more as a suggestion that...