Vayu: An Open-Source Toolbox for Visualization and Analysis of Crowd-Sourced Sensor Data

Area of Science:

• Environmental Science
• Data Science
• Sensor Technology

Background:

• Advances in sensor technology enable high-resolution air quality monitoring by scientists and citizens.
• Large datasets from these sensors pose challenges for traditional data analysis tools and skills.
• Existing methods may not adequately support the detailed and reproducible analysis required.

Purpose of the Study:

• To introduce Vayu, an open-source toolbox for analyzing air quality sensor data.
• To provide researchers and citizens with accessible tools for detailed and reproducible data analysis.
• To address the challenges of managing and analyzing large air quality datasets.

Main Methods:

• Development of Vayu, a cross-platform sensor data analysis toolbox.
• Integration of visualization and statistical analysis with a user-friendly graphical interface.
• Inclusion of tools for data conversion, interpolation, aggregation, and prediction.

Main Results:

• Vayu offers a robust platform for systematic analysis of air quality data.
• The toolbox facilitates detailed and reproducible scientific analyses.
• It supports various time-series data analysis tasks beyond air quality.

Conclusions:

• Vayu enhances traditional air quality monitoring networks by providing advanced data analysis capabilities.
• The toolbox democratizes complex data analysis for both experts and the public.
• Vayu's versatility extends its utility to diverse time-series data analysis applications.