[JOSS Review] Paper about pyheatdemand

[AlexanderJuestel]

General Comments

The General comments were addressed in dc65f8f

In densely populated areas, many houses could be within a 100 m x 100 m square. It is also a way to cumulate values for a city/region to identify heat demand hot spots. The quadtree refinement using a variable size of squares demonstrates that even better.

• Definition of MWh: I tried to refine it a little or eliminate the abbreviations in the summary, respectively.
• Definition of HD: This was added to the Statement of Need. I did not add it to the summary to not use abbreviations.

The target audience is included in the Statement of Need: Combining the functionality of well-known geospatial Python libraries, the open-source package PyHeatDemand provides tools for public entities, researchers, or students for processing heat demand input data. Would that be sufficient?

[AlexanderJuestel]

Formatting

The formatting issues were addressed in becfecb

All line breaks were removed in the paper and the about section. The Table was fixed.

[AlexanderJuestel]

Paper Structure

The paper structure was addressed in 6e4b83d

The State of the field was moved to the statement of need section. The outlook was split. The first part went into the summary and the second part was merged with the Resources. This is the only of the three sections that remains now.

[AlexanderJuestel]

Bibliography

The bibliography issues were addressed in f9e661b

There were indeed some brackets missing.

[AlexanderJuestel]

References

The references issues were addressed in e9a4c5e

I would refrain from adding a reference to the summary as I see it as an abstract and would not add a reference there either.
Two references were added in the statement of need and an example of where to download heat demand input data for the state of North Rhine-Westphalia was addded to "Processing Heat Demand Input Data" Section

[AlexanderJuestel]

@nmstreethran with that, I should have addressed your comments and remarks on this issue. Feel free to have a look and thanks again for your great comments!

[nmstreethran]

The target audience is included in the Statement of Need: Combining the functionality of well-known geospatial Python libraries, the open-source package PyHeatDemand provides tools for public entities, researchers, or students for processing heat demand input data. Would that be sufficient?

Yes, that's sufficient. I'm happy with all the other changes too.