Analysis and Visualization Techniques for Environmental IoT Systems

Explore environmental IoT systems through analysis and visualization techniques in this 25-minute conference talk by Rob Purser at BDF 2015. Delve into the challenges and opportunities of working with live environmental time series data, spanning instrumentation, embedded programming, signal processing, and statistics. Learn about three types of analytics: sensor analytics at the edge node, historical data analytics, and online analytics at the data aggregator. Discover practical techniques, tools, and visualizations for handling environmental data, including sensor networks, weather data, noise levels, and traffic monitoring. Gain insights into IoT diagrams, forecasting methods, data collection processes, and analysis workflows. Examine specific applications such as car counting, mobile phone detection, and noise measurement, along with various filtering techniques and online analytics approaches. Understand how to correlate environmental data with external sources to derive deeper insights into our surroundings, both indoors and outdoors.