This code produces an informative visualisation based on a dataset (not included) provided by the Atlas of Living Australia. I chose to demonstrate the geospatial sampling intensity of the rainbow skink across the ACT. I had initially planned to examine an endangered species such as the striped legless lizard, however after initial results and determining that the dataset's coordinates were geographically truncated, resulting in a plot focused around two or three locations, I switched to a species with more entries.

Code has been split into two files: data_exploration.py and visualise.py.

Data_exploration.py contains code that demonstrates the investigation of the dataset, but was not related creating the plot.

Visualise.py contains the code that produces the plot.

Results for the data exploration can be found in results.txt, and the completed visualisation can be found in result.png.

• Python 3
• Anaconda

These instructions are for running the code yourself, and are not necessary to view the results.

1. Create a new Conda virtual environment
2. Install the packages found in requirements.txt
3. Run python data_exploration.py or python visualise.py to test the code.

Laura Guillory
Web Developer Centre for Applied Climate Sciences
University of Southern Queensland
[email protected]