Case study:
Data City: Integration and visualisation of spatial and socio-economic
data in an urban context
Data set 5; property value based on Council
Tax bands.
The fourth data set represents property
values based on Council Tax Bands. The information is compiled by Glasgow
City Council.
To represent property values we converted
them in the following way:
Height (meters) = Average Price (thousands of £)/2.
When multiple prices appeared for the same
unit number we calculated the average property value of a flat for the
building.
For example a house with property value
Band D= £45,000 to £58,000 = average £51,500 is represented
with a volume 51.5/2=25.75 meters high.
Fig. 27 Data set 5, property value, looking from North West
Fig. 28 Data set 5, property value, looking from South East
Fig. 29 Data set 5, property value, looking from North East
Fig. 30 Data set 5, property value, looking from South West
Assessment of data set 5
This data set shows that the highest Council
Tax assessments are homogeneously distributed throughout the study area,
with perhaps a slight concentration of high assessments in the South East
of the study area. This is most likely due to the comprehensive rehabilitation
activity in that part of the study area.
This data set must be viewed bearing in
mind that a very good small flat could be represented in the same way
as a large run-down one.
