[JOSS] Minor Suggestions for improvement

[praneethd7]

I have a couple of suggestions to improve the package and documentation. These are non-binding to acceptance of course.

• The graphs are amazing and give a good idea of the subprocess. Why not make graphviz library a dependency in the package? Especially because the tutorial has it at the start
• The quick starter guide could be easily transformed into a Google Colab notebook and you can have a badge for that in the README. This helps users get started more conveniently
• It would be nice to have the GitHub Repo link in the documentation that is easy to access from any page
• Besides computing these parameters it would be nice to have some visualization capabilities (such as Figure 1) built-in using geopandas (since you are using it already) or other visualization libraries. Also, would be nice to have tutorials on integrating this work with other use cases mentioned in the manuscript:

(i) urban climate modelers wanting to understand building23
effects on the urban microclimate at a fine scale, (ii) urban planners creating new developments,24
(iii) sociologists aiming to understand weather-based inequalities and stresses

In the current state of the package, the users are expected to connect the dots in between for their use case😄

• Currently the automated package build tests Linux (ubuntu) and Python 3.10. It would be good to test on more OS and versions of Python to cater to a wider audience
• It would be nice to have some links to open-source/data for obtaining the building polygons and heights data

Cross Reference: openjournals/joss-reviews#6712