Advanced Visualizations and User Support for the VISTA Web Portal
Loading...
Authors
Nesch, Kaden D
Issue Date
2025
Type
Thesis
Language
en_US
Keywords
Data Visualizations , Environmental Monitoring , IoT Sensors , Software Architecture , The Things Stack , Web Portal Interface
Alternative Title
Abstract
The increasing availability of sensor data presents new challenges in how information is visualized, interpreted, and acted upon. Effective data visualization is essential for ensuring that users can make sense of complex environmental trends and device outputs, especially within platforms that handle large volumes of time-sensitive data. This thesis focuses on enhancing the VISTA platform by developing advanced data visualization tools designed to improve the clarity and usefulness of sensor data for end users. Key features include interactive charts, enhanced selection tools, and a dynamic map view that displays sensor locations in real-time. The new visualization approach introduces new and improved ways to analyze data with expanded filtering capabilities. Alongside these improvements, user support has been expanded through clearer interface design and the integration of responsive features that allow users to interact with data more effectively. Together, these contributions aim to support users in understanding and analyzing sensor data with greater ease and accuracy. The improvements made to VISTA enhance its role as a valuable tool for monitoring and decision-making in sensor-driven environments, with the potential to support future developments in smart agriculture and other related fields.