Chapter 6 discusses spatiotemporal data, which is information that is attached to a specific time and location, and it really highlights the real-world applications for this type of data using web GIS. I thought it was cool that this data can be helpful in such a wide range of fields like emergency response, environmental monitoring, and business operations. Another big part in this chapter is the Internet of Things (IoT), an extensive network of devices that includes things like traffic cameras and air quality monitors that are continuously transmitting data. It reinforces how this continuous live data is fed into real-time GIS systems, which can be used to track patterns and movement over time. Tools like ArcGIS Dashboards and time-enabled layers help visualize and animate this data, making it easier to monitor and understand dynamic systems. I found it eye-opening how easily this technology integrates into everyday life, from smart homes to tracking vehicles. It is both very interesting to me, and just a bit unsettling. This technology clearly has the potential for a lot of good and helpful uses, but could also be used for unfortunately bad purposes. One application for this type of technology and data mapping that would be interesting to me is sometype of wildlife tracking dashboard of Delaware County. This could be accomplished using real-time data from gps collars, trail cameras, and sensors. It could show animals movements over time and display weather patterns and human activity. It would be a very useful tool for determining how animals move based on other changing conditions.