Chapter 6 explored the use of real-time GIS and spatiotemporal data, which helps track and visualize how things move, change, or stay the same over time and space. Moving Data: Tracks objects or events in motion, like traffic or wildlife.
Discrete Data: Displays specific, random events, like accidents or weather occurrences.
Stationary Data: Shows fixed objects whose properties change over time, such as population density.
Change: Illustrates growth or shifts, like urban development or the spread of invasive species.
Real-time GIS lets us view this data in real-time or over time, and we can decide whether to focus on specific moments or ongoing trends.
Tutorial 1: I initially struggled to find the map needed for the exercises, but importing data from the Living Atlas solved the issue.
Tutorial 2: I created a dashboard to monitor incidents in Delaware County, customizing the appearance and data displayed.
Tutorial 3: I used categories to organize data on the map, making it easier to focus on specific areas.
Tutorial 4: Arcade scripting allowed for more advanced formatting, improving the display of the data.
Tutorial 5: I worked with time-series data, organizing it by time zones to keep it accurate.
Tutorial 6: The final tutorial animated population changes in the U.S. over 200 years, showing how populations shifted over time.
Application Idea: Real-time GIS could be used to track crowd sizes in Delaware businesses or OWU dining halls, helping people avoid crowded places. This would be similar to a “popularity tracker” which showed peak and off-peak times.