I used ArcGIS to map locations that were frequent during Claremont’s time as writer of Marvel’s Uncanny X-Men. Find my site here. Hope you enjoy!
4 thoughts on “Midterm—Mapping Locations in the X-Men”
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Hi Ian,
I also mapped the X-Men locations, so I was really excited to see your work. I agree with what you said about the dataset being challenging. Your usage of RStudio sounds like a productive way to clean up your dataset. When examining your map, I think your heat map and pie chart effectively portray the dataset, especially when one or the other is too overwhelming. Lastly, I think you are right about how using digital tools is engaging and effective when presenting a dataset that will inform a viewer.
Ian, your project turned out great! It is really interesting how you used tools from other classes (such as R) to help enhance the development of your idea. It is a great example of how interdisciplinary the field of digital humanities is. I like how you used two different ways of representing your data, both in a map and in a chart, as it provides the viewer with options for how they should approach your project!
Great job with this project! I appreciate that you persisted through what sounds like a difficult process for cleaning your dataset and that you included links to both your cleaned and the original datasets at the end to follow digital humanities standards by making your project open source. Good job also considering the readability of the website when choosing your website design as having the map next to the text encourages you to compare the observations made in the text to the map as you go through the project rather than after.
Hi Ian, I think your visualization is really effective in clearly presenting the locations used in X-Men comic issues. I think the combination of the heat map and the pie chart works especially well, in which the heat map gives an intuitive sense of geographic concentration and intensity across different regions, while the pie chart complements it by breaking down the proportions of locations in a more numerical way. I also appreciate how you drew on skills, such as using RStudio, from other classes to help you complete this project.