R code to reproduce analyses predicting potential reduction in shark bites in Australia when wearing electronic deterrents

Analyses to estimate power to detect differences in the number of shark bites on humans with/without shark management strategies in place

R code to analysis deterrent trials for devices used to reduce the incidence of white shark (Carcharodon carcharias) attacks

Global Shark Attack Warner is an interactive Flask-powered web app that uses a trained ML model to predict your shark-attack risk—High or Low—based on activity, shark species, time of day, attack type and location. With a dynamic beach background and playful shark animations, it makes exploring marine safety both informative and fun.