What are examples of real-time observational data?

Real-time observational data encompasses information collected and transmitted continuously or at frequent intervals, allowing for immediate analysis and response. Stationary sensors, such as weather stations or environmental monitoring devices, provide continuous data on specific conditions in a fixed location. Things that move, like vehicles or drones equipped with GPS, offer dynamic data that can change rapidly as the objects move through space. Additionally, incidents, such as accidents or natural disasters, are reported in real-time, meaning that this data is not only current but also critical for immediate decision-making and response.

In contrast, the other options represent data types that do not fall under real-time observational data. Historical records and archived datasets refer to information that has already been collected and analyzed, providing context but not current or immediate observations. Static maps and imagery are fixed representations of geographic information at a certain point in time and do not capture dynamic, real-time changes happening in the environment. Administrative data and reports typically involve data collected for specific purposes and often reflect past activities or trends rather than ongoing, real-time observations. Thus, the correct answer reflects the essence of what defines real-time observational data effectively.