3D Visual Data
Faculty Mentor Name
Sameer Abufardeh
Format Preference
Poster
Abstract
Radar technology has long been a cornerstone in fields like air traffic control. However, interpreting the massive amounts of data collected by radar systems presents significant challenges. The traditional 2D radar data visualizations, while informative, often fall short in representing the full scope of spatial relationships. These limitations can hinder the decision-making process, especially in high-stakes environments. The goal of the visual data group is to create a library capable of creating three dimensional charts and graphs to better represent this complex data. The complex, multidimensional data generated by radar systems require specific training and tools to properly analyze. When using two dimensional visuals, the resulting image is flattened which hinders the user’s capability to quickly and correctly evaluate the data. The 3D radar data visualization library we are developing is designed to overcome the limitations of current systems by providing a live, interactive environment for viewing radar data. This interactive 3D system will allow users to navigate the current radar data from multiple angles, zoom in and out of specific data points, and manipulate the data dynamically to suit their needs.
3D Visual Data
Radar technology has long been a cornerstone in fields like air traffic control. However, interpreting the massive amounts of data collected by radar systems presents significant challenges. The traditional 2D radar data visualizations, while informative, often fall short in representing the full scope of spatial relationships. These limitations can hinder the decision-making process, especially in high-stakes environments. The goal of the visual data group is to create a library capable of creating three dimensional charts and graphs to better represent this complex data. The complex, multidimensional data generated by radar systems require specific training and tools to properly analyze. When using two dimensional visuals, the resulting image is flattened which hinders the user’s capability to quickly and correctly evaluate the data. The 3D radar data visualization library we are developing is designed to overcome the limitations of current systems by providing a live, interactive environment for viewing radar data. This interactive 3D system will allow users to navigate the current radar data from multiple angles, zoom in and out of specific data points, and manipulate the data dynamically to suit their needs.