Isaacs Week 5

Chapter 4:

This chapter pushed me a bit more than the earlier chapters, but I still enjoyed working through it. I thought it was really cool how the chapter showed different ways to control what you can see and can’t see on the map, especially when sorting layers or adjusting visibility settings. Some of the steps were a little harder to follow compared to previous chapters, so I had to slow down and double‑check what I was doing. Even with that, I liked experimenting with the symbology options and seeing how those choices changed the look and meaning of the map. Overall, the chapter helped me think more about map design and made me feel more confident using ArcGIS Pro.

Chapter 5:

This chapter focused on finding what features fall inside a specific area, which made the analysis feel more practical and straightforward. I worked through exercises that involved selecting features within boundaries and summarizing what was inside each region, and I liked how clear the results were. Compared to the previous chapter, I found these steps simpler and easier to follow because the workflow felt more direct. It was satisfying to see how quickly you can answer real questions just by defining an area and using the different tools. Overall, this chapter helped reinforce the basics of spatial analysis and also wasn’t too hard to follow. 

Chapter 6:

This chapter covered comparing features across different layers, which made the analysis feel more detailed and data‑heavy. I worked through exercises that involved joining tables and looking at relationships between datasets, and it was interesting to see how much information you can uncover when layers are connected. I found this chapter harder to navigate because some steps expected you to remember tools and menus from earlier chapters really well. A few times I had to look back or look up how to get to a certain table or window, which slowed me down. Even with the extra effort, the chapter helped me understand how powerful table relationships are in GIS and why they matter for deeper analysis.

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