Calculate Land Use Mix

The Calculate Land Use Mix tool calculates a measure of the heterogeneity/homogeneity of land uses within each neighbourhood catchment, by calculating an entropy measure, which uses the areas of only land uses of interest falling within the neighbourhood polygon.

Note: The walkability tools work optimally on regions around the size of local government areas. Study areas larger than this may be faced with long processing times.


Set up your area and data, for this example, we will be looking at the land usage around sporting facilities in the Ballarat SA3.

  • Select Ballarat SA3 (Australia → Victoria → Rest of Vic. → Ballarat → Ballarat) as your area.
  • Select ABS – Usual Residential Population and Dwelling Count (MB) 2016 and select the following variables:
    • Mesh Block Code
    • Mesh Block Category
  • Select VIC DELWP – Vicmap Features of Interest – Sporting Facilities (Polygons) and select the following variables:
    • Unique Feature Identifier
    • Geometry
    • Feature Type
    • Feature Subtype
    • Name (Label)


We will first look at calculating the land usage mix around sporting facilities in Ballarat.

To do this, open the Calculate Land Use Mix tool (Tools → Walkability → Calculate Land Use Mix) and enter the parameters as follows:

  • Regions: The dataset containing the regions that you would like to include for your analysis. Select VIC DELWP – Vicmap Features of Interest – Sporting Facilities (Polygons).
  • Land use polygon dataset: The dataset that we use to specify the different land uses to be included in the Land Use Mix component of the walkability index. Select ABS – Usual Residential Population and Dwelling Count (MB) 2016.
  • Land use classification attribute: The attribute that contains the different land uses within it. Select Mesh Block Category.
  • Land use classifications: The land uses you would like to include within your land use mix calculations. Select Commercial, Parkland, Education, Residential, and Hospital/Medical, as these are the kinds of places you would want to walk to/from and through.

Once you have entered your parameters, click Run Tool.


Once your tool has run, click on the Display button to bring up the output of the tool.

This table contains the calculated connectivity measures:

    • LUM_<Land Use> – the square metres for each land use within each neighbourhood polygon.
    • LandUseMixMeasure – the entropy measure of land use mix
    • LandUseMixMeasure_ZScore – the connectivity score normalised to a Z score by the following formula

Z_{i} = {X_{i} - \overline{X}\over s}

where X_{i} is the non normalised score of observation i, \overline{X} is the sample mean and s is the sample standard deviation. The Z score will tell you how much higher or lower than the rest of the neighbourhoods that a single neighbourhood is (where the mean is 0)

You can also visualise the outputs as regions. To do this, click on the spanner symbol next to the connectivity output in your Data panel, and select Display on Map. Once you have selected the colours you want for the neighbourhoods, click Update and Display. This should cause the neighbourhoods to appear on your map (with a row in you Visualise panel as well). Hovering over a neighbourhood will bring up its connectivity attributes (shown in the above screenshot).

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