AURIN Portal Quick Start Guide
- AURIN Portal Help
- AURIN Portal Quick Start Guide
- Navigating the AURIN Portal
- Selecting your Area
- Selecting your Data
- Visualising your Data
- Analysing your Data
- Tutorials and Use Cases
- Creating a Thematic Map
- Investigating Multiple Datasets
- Walkability: Neighbourhood Analyses
- Walkability: Agent Based Models
- Analysing Industry Clustering
- Health Demonstrator Tool Briefs & AURIN Portal Tour
- Housing Demonstrator Tool Introduction & Mapping House Price in AURIN
- Impacts of Planned Activity Centres on Local Employment and Accessibility
- Housing Affordability and Land Administration
- Using Social Infrastructure Data for Type 2 Diabetes Management
- Use Case: Mapping, Charting and Statistical Analysis – Polling Booth Data
- Use Case: Building a dataset for external processing
- What If? Help
- Envision Help
- Envision Scenario Planner (ESP) Help
- Economic Impact Assessment Tool Help
- Release Notes
- AURIN. Australian Urban Research Infrastructure Network Sites
- AURIN. Australian Urban Research Infrastructure Network - Documentation
- AURIN Portal Quick Start Guide
This quick-start guide will help you get started using the AURIN Portal. Below, you will find a video guiding you through using the AURIN portal for the first time. The content is also written below in a printable form for reference. You can open the portal at this address: https://portal.aurin.org.au. You will need to use Firefox, Chrome or Safari.
Step by step instructions
If this is your first time visiting the AURIN portal, you will be greeted with the Australian Access Federation (AAF) login screen. If you have a login at an Australian university, you should already be able to access the portal by selecting your university from the drop-down list and using your regular login details. Some AURIN affiliate institutions also have access. If you are not in one of these groups, please select AAF Virtual Home.
For this example we will create a coloured map of the Sydney Metropolitan Region and showing the incidence of Type 2 diabetes. To begin, we will narrow our area selection down to the ‘Greater Sydney’ region.
Clicking on Area pane brings up the area selection dialogue window (shown below) Use the drop down menu to select State and Territory: New South Wales, then select Greater Capital City Statistical Area: Greater Sydney. When you see ‘Greater Sydney (gccsa/1GSYD)’ in the Area panel, close this dialogue box.Open the Dataset browser in the Data panel (shown below). The window is populated with data from sources across Australia, pertaining to our selected geography. We want to find information about Diabetes, so we can enter this as a keyword and click search.
From the datasets that have been returned, select SA2 Chronic Disease – Modelled Estimate and the check the attributes boxes for Statistical Area Level 2 Name and Diabetes – Rate per 100 (shown below).
Click Add and Open at the bottom right corner of this dialogue box. This will cause the dataset load from the data source and appear as a table on your screen. (It will also appear in your Data panel)
To visualise this data, go to the Visualise panel and click on the Maps, Charts and Graphs button to open the Visualisations dialogue box. Choose Map Visualisations, and then Choropleth. Here we can give our map a descriptive name, select our dataset, the attribute we want to map, the classifier (choose ‘Natural Breaks’), number of classes and a colour set (shown below).Click the Add and Display button on the lower right corner of the dialogue and you will see now a thematic map of the dataset displayed in the main window (shown below). If you hover the mouse over each geographic area you will see their name/label. Similarly, if you bring up the data table again (by clicking on the eye in the Data panel) and hover over the entries, the map will be highlighted correspondingly (shown below).
To continue some more exercises, like mapping disadvantage and making scatter plots, visit this tutorial: https://docs.aurin.org.au/strategicplanmaking/