Börkur Sigurbjörnsson

@arya-hemanshu could you explain this one in more detail? Is this for the reader that you already implemented?

Hi @thomiko ... are you at the City Data Hack?

That is a good solution that would work generally for any geometry and could be controlled flexibly by a parameter in the field.

More info from Joe on the methodology. [LeedsCommunityResilienceIndexMethodology_2.html.pdf](https://github.com/FutureCitiesCatapult/TomboloDigitalConnector/files/714224/LeedsCommunityResilienceIndexMethodology_2.html.pdf)

Something like ... ``` import geopandas as gpd import geojsonio from matplotlib import pyplot %matplotlib inline sil = gpd.read_file('social-isolation-leeds.json') sil.plot(column='index:social_isolation') ```

The LSOA names in London start with the name of the Borough and the LSOA labels do not have a pattern. However, all boroughs in London have a label starting...

You could look at changing the value for the runExport process in the build.gradle

The OSM file for london is called: europe/great-britain/england/greater-london See here a list of different areas you could put: https://download.geofabrik.de/europe/great-britain/england.html

In this case the target code is used to determine the unit used for the area. In the WGS4326 code the unit is degrees, which gives hard to interpret numbers...

Yes