ALA Data Analyst Position - Visualisation Task

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:

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

Requirements:

• Python 3
• Anaconda

Setup:

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.

Contacts

Laura Guillory
Web Developer Centre for Applied Climate Sciences
University of Southern Queensland
laura.a.guillory@gmail.com