Predict Animal Movements using Collar Data
Global Opportunities Project

Predict Animal Movements using Collar Data

(2022)
Collar Telemetry Predictive Models Wildlife Tracking Forest Observatory Data Science
Internet of Things (IoT) Sustainability (SU) Data Science (DS)

Project Overview

The project explores the dataset with the intention of helping patrollers better understand elephant movement and thus locate them easily. With the prevalence of consistent elephant movement trends in the usage of natural forest corridors, this project aims to develop and train a machine learning regression framework to predict the future GPS locations and movement trends of a Bornean pygmy elephant located in Sabah, Malaysia, in the hopes that it can be used as a secondary tool to base patrol routes around.

The project explores the dataset with the intention of helping patrollers better understand elephant movement and thus locate them easily. With the prevalence of consistent elephant movement trends in the usage of natural forest corridors, this project aims to develop and train a machine learning regression framework to predict the future GPS locations and movement trends of a Bornean pygmy elephant located in Sabah, Malaysia, in the hopes that it can be used as a secondary tool to base patrol routes around.