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.
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
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
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)
Dentlinger et al. turtle standing manuscript
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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