Week 6 Lab (Breanna Lefevers-Scott)

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I created the above map using the data points I entered into my spreadsheet. When choosing the locations, I decided to select places on campus I visit extremely frequently, my Carleton house, to places I visit not so frequently, such as Burton dining hall. I felt it was best to find a range of data to show an interesting distribution of my average week at Carleton. To showcase this range on the map, I decided to use colors. The darkest is the most, and the lightest is the least. I also added labels for each place and changed the positions of them, as it’s sometimes hard to tell which building is which from an aerial perspective and the labels were hard to read in certain places. In general I found the process quite easy, however I’m not sure that everything works quiet right when exploring the embedded map, or the web app. I’m also not sure that if it doesn’t that I know how to fix it. As for the potential of web mapping for DH work in general, there is a lot of potential. One such idea is putting historical maps on maps of today to showcase the different thoughts that people had when imagining the world is one such thing. Another is visualizing the change in the world’s geography from the past to the present, such as waterways becoming available or unavailable throughout time. As for ArcGIS in particular, I don’t think we experienced all that we could, and there are many projects that can be done, as the two mentioned above. It all depends on what people are interested in.

1 thought on “Week 6 Lab (Breanna Lefevers-Scott)

  1. Hello,

    I really liked how you decided to select places on campus that we visit frequently and not as frequently. It adds variety to your dataset and the overall meaning of the map. I also think that this general process of using ArcGIS was easy but I expect that after exploring deeper I would come across some complications. But other than that, this tool is really useful. I liked how mentioned the examples of comparing historical maps and geography maps (overtime). These would be really insightful maps for those interested in that specific field.

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