Text Box: Several Datasets of different formats were needed to be attached with a geographical location for this project.  GIS was used for this project, using the program ArcGIS (ESRI).

Why use GIS?
GIS allows spatial data to be displayed geographically with several attributes attached.  It is a powerful tool for storing spatial data and retrieving and querying the data at will.  It also allows data to be transformed from different projections and manipulation of these data sets.   Click on each category of data to learn more.  
















As health data was only available  for 3 remoteness categories (Major Cities, Inner Regions and Outer/Other Regions) for each state, data was obtained at only the remoteness level.  However there are 5 remoteness level (Major Cities, Inner Regions, Outer Regions, Remote Region and Very Remote Region) are available for each state.  It was confirmed from the NHS that the data for Outer/Other regions comprised of Outer regions, Remote regions and Very Remote regions.  This meant that the Outer regions, Remote regions and Very Remote regions datasets for socio-economic and geographical had to be manually amalgamated to be matched with Outer/Other regions health data.
An example of the final attribute table attached to the NSW polygon in ArcGIS can be found below and the NSW polygon can be queried, manipulated and displayed based on these attributed values.

Obesity in Australia :

A study of contributing socio—economical factors in using Spatial Analysis 

Author: Lucy Chen

Supervisor  : Samsung Lim

Datasets