Add functionality to easily visualize spatial distribution of location selection criteria and aggregate criteria score

[Rosejoycrocker]

Location selection uses a set of normalized, weighted criteria to set locations at which to implement seeding and shading. To understand how and why guided intervention decisions are made, plots of the spatial distribution of these weighted, normalized criteria and the aggregate score calculated from these criteria is very helpful.

The plotting function should use the result set and a scenario dataframe to plot the criteria and aggregate scores. This issue requires changes in #619 and #641 to first be addressed.

[Rosejoycrocker]

@ConnectedSystems , we previously spoke about how we'd need site-by-site dhws and waves stats in the ResultSet to allow plotting the decision matrices with consistent syntax. I've realised, however, we'd also need the TP matrix to be stored in the result set. What do you think about adding this?

[ConnectedSystems]

Sure, the connectivity matrix is comparatively a small addition so I don't think it's much of an issue

[Rosejoycrocker]

Sure, the connectivity matrix is comparatively a small addition so I don't think it's much of an issue

Thanks, I'll add an issue for this