Ch 5: In this chapter, we learned how to use ArcGIS Enterprise. We learned its components and supporting platforms, including Kubernetes, and were then introduced to caching. This is an important technique because it helps us create cashes like vector tiles, raster tiles, and feature tiles for feature layers. We learned how to publish these different types of layers as well through ArcGIS Pro. This allowed us to create a comparison web app to compare the vector and raster tiles. Through the tutorials we were able to find, add, and symbolize spatial data layers within a map viewer, and learn how to understand how to query or style the features to extract meaning from a certain location. I thought that this chapter wasn’t too bad; the only annoying thing is that I wasn’t able to download ArcGIS Pro onto my computer, so I had to go into the lab.
Ch 6: In this chapter, we learned the basic concepts of spatiotemporal data, the values and challenges of loT, and the ArcGIS products that can meet these challenges. We learned how to use ArcGIS Velocity, ArcGIS GeoEvent Server, ArcGIS Dashboards, and ArcGIS Mission. We were taught how to use real-time layers in web maps, create dashboard apps with actions, and use Arcade-based formatting. We were also able to create time-enabled layers and animate time-series data. This chapter was really cool to me, as we were able to make a board that had operational data on certain geographic features (hurricanes and earthquakes).
An application for these chapters is that I could create a GIS map that tracks weather patterns across the US. Using public data from NOAA, the map would be able to display temperature, precipitation, storms, and other weather conditions in different locations. The map could use real-time data to show changing weather conditions and allow users to compare weather patterns between different regions. Caching could help the map load faster by storing frequently accessed weather information.