In chapter 7 of the textbook Getting to know Web GIS, the main focus was on 3D web scenes in ArcGIS and how they expand traditional 2D mapping into a more realistic experience. Instead of just looking at flat maps, 3D scenes allowed me and other users to visualize height and depth more clearly. These 3D scenes are called web scenes, which can include different types of layers such as feature layers, scene layers, and elevation surfaces. It was somewhat interesting to learn about the difference between photorealistic scenes and cartographic scenes. In scenes that are photorealistic, the use of imagery is applied in attempt to mimic the real world. On the other hand, cartographic scenes use symbols driven by data. These symbols can include color and height, further representing information such as population density. This makes 3D useful not just for visualization, but also for analysis. The chapter also explained different scene layer types, with each scene layer helping users’ model entire landscapes and buildings. Some of the scene layer types discussed were 3D object layers (buildings), point clouds (LiDAR data), and integrated mesh layers (from drone imagery). These allow GIS users to model entire cities, buildings, or landscapes in detail. Moving on to the actual tutorial part of the reading, it showed how to actually build a 3D scene in Scene Viewer by adding layers (with the addition of styling them) and editing features. I liked how you can interact with the scene: rotate it, measure distances, and even simulate sunlight and shadows. The textbook made a connection between 3D GIS and newer technologies like VR, AR, and the metaverse. This link was interesting to me because it shows how GIS is expanding beyond just maps into immersive environments. This system is ever evolving and will be in use for years to come. I think 3D GIS makes maps way easier to understand, especially for things like cities or buildings. Seeing height differences visually is more intuitive than trying to interpret numbers on a 2D map. At the same time, it feels more complex than 2D mapping. There are more settings (like elevation modes, z-values, and symbol configuration), which can be confusing at first so many buttons! However, once you get used to using this application, it becomes a powerful tool you can keep handy.
Application Idea
One application idea for this chapter’s content would be creating a of a local park using my own collected data. For example, I could map trees, benches, and buildings as point and polygon layers, then use extrusion and 3D symbols to make them realistic. I could also include underground features like pipes or utilities if data is available. This would help visualize how space is used and could be useful for planning improvements or studying environmental patterns.