Keywords
Movement Ecology; ctmm; Google Earth; Animation
Abstract
In the field of ecology, animal tracking is core to understanding an animal’s behavior, space-use requirements, and suitable habitat. Utilizing the software created by this project, it is possible to visualize tracking data in its spatial and temporal context. The source code is written in R and leverages the Continuous-Time Movement Modeling (CTMM) package for statistical analysis. Utilizing CTMM, predicted or simulated movement paths can be generated with the user only needing to input their data. The Keyhole Markup Language (KML) is used to write a file containing all the animation parameters the user desires, such as the number of paths or icon images used. After the creation of the KML file, importation into Google Earth allows for the recording of a fully animated tour. This project's software creates an efficient and accessible tool for ecologists and conservationists to use to animate their tracking data.
Thesis Completion Year
2024
Thesis Completion Semester
Fall
Thesis Chair
Fleming, Christen
College
College of Sciences
Department
Department of Biology
Thesis Discipline
Biology
Language
English
Access Status
Open Access
Length of Campus Access
None
Campus Location
Orlando (Main) Campus
STARS Citation
Pinheiro, Bruno V., "Animating Animal Tracking Data In A Geospatial Context" (2024). Honors Undergraduate Theses. 184.
https://stars.library.ucf.edu/hut2024/184