Real-time GIS is used to handle objects and events that move, appear, and change through time.
- Spatiotemporal data comes from many sources, ranging from manual data entry to data collected using observational sensors or generated from simulation models.
- Real-time GIS refers to GIS that handles current and continuous data, which can be the latest position, altitude, speed, direction, temperature, pressure, concentration, or water level of various sensors and other objects.
- IoT is the network of physical objects, or things, embedded with sensors and network connectivity that enable these objects to collect and exchange data.
ArcGIS Velocity introduces new types of items to ArcGIS, including feed items, real-time analytic items and big data analytic items.
The temporal nature of real-time data allows you to establish a time series or intervals of time and you can:
- Display discrete events, such as crimes, accidents, and diseases, over time.
- Visualize the value change at stationary objects, such as air-quality sensors and weather stations.
- Map the progression of a wildfire, flood, land use, or environmental change over time.
- Replay the events of an emergency, review when and how different departments responded, and learn from the past to improve emergency management and responses.
Using the information/tutorial from this chapter, I could create a display showing change over time or create a web map with real-time layers. For example, I could potentially gather data from the cameras that overlook the main jaywalk crosswalk and create a web map with real time data of it to track incidents. I’d be interested to see if this could be used to gather data about the number of cars that run red lights or fail to yield to students at other crosswalks.