Gordon is being used to create interactive visualizations, and will make it easier for the software developers to explore the impact of algorithmic modifications on the quality of the solution.
The visualization expertise was provided by Amit Chourasia, senior visualization scientist at SDSC.
"We made changes to write the data into a more compact format, which enabled swift output and ingestion," said Chourasia. "A key goal was to allow the experts to visualize the data directly on Gordon via remote access, as it is essential to minimize data movement and replication especially when data sizes grow. Currently, we're working to fuse data from various sources such as topography and climate to further aid the understanding of such habitats."
2D or Not 2D
"Our collaborative research team has created a novel and powerful tool for visualizing and modeling animal home ranges in 3D that harnesses the power of SDSC to fully exploit the increasing size and quality of 3D animal biotelemetry tracking and datasets," said James Sheppard, a senior researcher within the Applied Animal Ecology Division of the San Diego Zoo's Institute for Conservation Research, and a member of the research team. "This provides us with deeper insights into patterns of animal space-use and informs strategies for the conservation management of endangered species and their habitats."
Specifically, the project's advancement centered on the use of 3D technology for home range estimators, as opposed to traditional 2D systems typically used by ecologists. In a graphic image, the x and y axes denote width and height, while the z axis denotes depth, or vertical movement. The team developed what is called a movement-based kernel density estimator (MKDE) to estimate animal movements.
"We show that analyses and visualization using 3D
|Contact: Jan Zverina|
University of California - San Diego