Event Title

Session 3B: SENSEI-Panama: Visualizing and Analyzing GPS Data on the Island of Barro Colorado Using MachineLearning

Session Number

Session 3B: 3rd Presentation

Advisor(s)

Andrew Johnson, University of Illinois at Chicago

Location

Room A149

Start Date

28-4-2017 1:15 PM

End Date

28-4-2017 2:30 PM

Abstract

This project was created to visualize, model, and analyze animal movement on the Island of Barro Colorado. Using the longitude, latitude, and heights of 23 animals over the span of 3 months, this project was able to create several 2D visualizations. One, a map, showed the longitude and latitude movement of the animals, with a user interface to select animal, species, or time span. The second, a line chart, showed the height of the animals over time, with checkboxes to select animal and species. The two 2D visualizations were analyzed by eye, with interesting parts noted. The computer language Mathematica was then brought in to apply machine learning to the data, to predict animal movement and classify data into different species. Artificial Intelligence was then successfully used to classify and predict species and location of the animals by using the data provided for each animal.

Comments

Additional team members: James Hwang and Jillian Aurisano

Share

COinS
 
Apr 28th, 1:15 PM Apr 28th, 2:30 PM

Session 3B: SENSEI-Panama: Visualizing and Analyzing GPS Data on the Island of Barro Colorado Using MachineLearning

Room A149

This project was created to visualize, model, and analyze animal movement on the Island of Barro Colorado. Using the longitude, latitude, and heights of 23 animals over the span of 3 months, this project was able to create several 2D visualizations. One, a map, showed the longitude and latitude movement of the animals, with a user interface to select animal, species, or time span. The second, a line chart, showed the height of the animals over time, with checkboxes to select animal and species. The two 2D visualizations were analyzed by eye, with interesting parts noted. The computer language Mathematica was then brought in to apply machine learning to the data, to predict animal movement and classify data into different species. Artificial Intelligence was then successfully used to classify and predict species and location of the animals by using the data provided for each animal.