ShinyApp - Data Science and Economics. Visualise, realise, make a change.
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Updated
May 1, 2021 - R
ShinyApp - Data Science and Economics. Visualise, realise, make a change.
Dentlinger et al. turtle standing manuscript
R Code for correlating life history with status (threatened/invasive) of legumes
Predictors of contraction and expansion of area of occupancy for British birds
Global wildlife diversity in team sport organisations
A D3.js data visualization that explores the conservation status of tigers
Tell a story of threatened species in Victoria through Data Visualisations | Data manipulation: Python, Pandas | Webscraping | Back-end: Python Flask-powered RESTful API backed by MongoDB | Front-end: HTML, CSS (with Bootstrap) and Javascript (with Leaflet.js, Plotly.js)
Prototype module for the Threatened Species Index, to collect sightings of endangered species across Australia for upload to their website (https://tsx.org.au/).
ABS NCA flying-fox monitoring in Commonwealth Park, Australian Capital Territory
Metrics for quantifying the contributions of different threats to Red Lists
Non-lethal predator impact mitigation: can we induce conditioned taste aversion in red foxes and ravens to chicken eggs using synthetic bush stone-curlew scent?
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