Chapter 1
Chapter 1 sort of lays out the basics of Web GIS. The biggest difference compared with desktop GIS is that you can actually make and use maps right inside a web browser, so sharing maps becomes easier and faster, with no extra steps. And the book shows where GIS is used up in government, business, science, and honestly in everyday routines too, not just in strict technical roles. The COVID-19 example stayed with me the most. I felt it was clear, really relatable, and a good demonstration of how normal people can follow real-world data while it keeps changing, not only read about it after it already happened. I also picked up the main pieces of a web map, like basemaps, operational layers, and web apps. The basemap is kind of the backdrop, the operational layers are where the information lives that you want to display, and the web apps are what let other folks interact with the finished map. In the tutorial we uploaded a CSV file, then turned it into a feature layer, and then built a map from that. Since I mostly work with Python, R, and SQL, I’m used to seeing things as tables and graphs, so seeing the same kind of data on a map felt different, in a good way, like a different angle. One thing I am wondering about is how straightforward it is to update the data after a web map has already been created. Maybe the book covered it, but right now I’m still a bit unsure about how it works in practice, and what the workflow looks like when you actually have to change things.
Chapter 2
Chapter 2 talks about smart mapping and how fast geographic information gets presented so people can grasp it. I really liked that when you change colors, symbols, and sizes the patterns pop out right away, it feels kind of immediate. A map that shows population change is easier to read than a spreadsheet that’s just rows and rows of numbers. Also, the pop-ups help since users can click on a place and then see statistics, images, and even charts, all in one spot. ArcGIS StoryMaps was new to me, because I didn’t realize that maps, text, images, and videos can be stitched together into one interactive story. I think it could be a really good method to show a data analysis project to others who are not comfortable with the whole technical side. On top of that, I noticed ArcGIS Arcade too, which lets users write expressions to calculate values directly within a map. That immediately reminded me of writing code, so I would like to experiment with it at some point. I do have one question though, which is how much statistical work can actually be done inside ArcGIS Online. Since I already use Python and R, I’m wondering if it’s possible to connect them with ArcGIS Online for more advanced analysis, or if you have to keep the deeper stats outside the platform.
Application Idea
One possible application would be an interactive map that kind of compares household income and housing prices across the United States. Because I am studying Data Analysis and Quantitative Economics, I am interested in how these two factors differ by region, like maybe the Midwest versus the coasts or the South. I would use data from the U.S. Census Bureau to build a dataset with median household income and median home values for states or counties. In ArcGIS Online, I would use different colors to represent the values, and then add pop-ups with more detailed information for each area. After that, I would use StoryMaps to explain the patterns, especially in places where housing prices are high relative to income. I think this project would be a good way to blend my background in data analysis with the concepts from Chapters 1 and 2.