GeoPacks are structured to have one or more levels of geographical data. When there are multiple levels, the data will be structured in a logical hierarchy. Each level of the hierarchy will contain Geographical Labels of different formats and a Geographical Field containing a Point (and sometimes a Polygon). The pack may also have Demographic Metrics, which will be associated with the lowest level of the hierarchy which are automatically aggregated up depending on which hierarchy level you are using at the time.
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See GeoPack Setup for more information.
If we look at a simplified version of the Australian Postcode GeoPack it contains the following three level hierarchy:
Some levels of this hierarchy may have different ways to identify the geography. For example, the State level can be identified by its full name, or using a three letter code. In this case, there are multiple Geographical Labels for the State field; State Label and State Code. An example of possible label fields for this pack would be:
State Label | State Code | LGA Code | LGA Label | Postcode |
---|---|---|---|---|
Victoria | VIC | LGA23430 | Kingston | 3195 |
Victoria | VIC | LGA23430 | Kingston | 3196 |
Victoria | VIC | LGA25900 | Port Phillip | 3205 |
These label fields are used to link the pack data to your source data, and as such you must select the label that matches the formatting in your source database. For example, if you're linking on State field and your data is stored as VIC, you would link on the State Code field. If your data is stored as Victoria, you would link on the State Label field.
See GeoPack Use for more information.
See GeoPack Use for more information.
If we look at the same simplified Australian Postcode GeoPack as above, it contains various different fields of census information. Most packs contain many demographic fields, but this simplified example contains two; Total Population and Median Age:
Postcode | Total Population | Median Age |
---|---|---|
3195 | 34102 | 39 |
3196 | 23590 | 39 |
3205 | 9317 | 37 |
The Demographic Metrics are designed to provide additional levels of context to your mapping, providing you with the ability to compare your data with census information for richer analysis.