Chapter 6: Spatiotemporal data and real-time GIS
Real-time GIS BasicsĀ
- Moving – airplanes, trains, cars. (anything that moves)
- Discrete – earthquakes, criminal incidents. (things that ājust happenā)
- Stationary – weather station measurements, water levels at stream gauges, traffic speed, live video footage. (stands still but values change)
- Change – perimeter of wildfires, flooded areas, urban sprawl. (change of growth)
IoT is a network of all physical objects with sensors embedded that will allow them to exchange data. An example would be smart cars and how they use IoT to connect with the geospatial cloud to find the best travel distance route and stay within traffic speeds.Ā
ArcGIS Velocity has new features like feed times that let users receive sensor inputs, real-time analytic items like processing and trigger alerts, and big data analytic items like historical observations.Ā
An application based on chapter 6 I would create is to find a map of OWU and create a layer with different events happening around campus for the week of November 13th – 17th. I would create a changing map to see how many students go to these events. Using spatiotemporal data I will collect this by using observational sensors. The duration of time will be stored in two fields for the start time of the event and the ending time.Ā