Hollinger Week 4

Chapter 6 Notes, Comments, and Questions:

1. Spatiotemporal data includes observations of events, objects, etc. that move and change through time. This data has 4 categories:
   1. Moving, Discrete (something happens at a time/place), Stationary (still, but values change), and Change (growth)
   2. Time values can be a point in time or a duration of time
2. IoT: a network of physical objects embedded with sensors and are network connected to enable these objects to collect/exchange data
   1. Smart cities: uses IoT to supply info that will assist in managing the city assets and resources better (and smart homes)
3. Velocity and GeoEvent Server
   1. Ingest: compatible with many sources and forms of data (Communication component)
   2. Process: Processes the data received from the ingest component. It can provide filters and real-time analysis.
   3. Output: Send the processed data to a variety of destinations
   4. Velocity items: feed items (sensor input receiver), real-time analytics, big data analytics
   5. Delivery (server to client): Polls (ex: retrieves data every 30 seconds) or Push (serve data in real-time)
4. Dashboards: common view of systems and resources you manage
   1. Arcade in dashboards: expression can be used as a data source and used to control control over the looks of a dashboard
5. Mission: real-time communications and situational awareness product that helps with the coordination of movement and communication among an organization.
   1. Manager (web app, organizes missions), Responder (communication), Server (links manager and responder)
6. Animating Time Series Data
   1. Time series: a sequence of data points captured over intervals of time
   2. Animating data lets you visualize it at each interval
   3. To do this you can use a time-enabled web layer, add it to a web map, and create an app from the web map

Chapter 6 Application: 

• My idea for an application for this chapter is an animated time series on how freshwater usage has changed over time. The data (CSV) I have is from Our World in Data and it tracks freshwater usage around the world from 1962 to 2019. I believe this would fall in the change category for spatiotemporal data because it shows how usage changes over time. I would create a time series map and I would also like to try to include a dashboard  to visualize some different charts, lists, and statistics with the map if I feel it is appropriate for this data