Overview of Process
This week, I learned about web mapping created a my own map of Carleton on ArcGIS. The map highlights 5 spots on campus that are important to me. The first step was to personalize the CSV dataset template by inputting data for the 5 locations into each category. The category I chose to highlight in my map was called function/type. After importing the dataset into maps, I could see the locations of each place. To start my ArcGIS journey, I selected a dark gray base map. I made this choice because it increases the contrast by making the bright-colored buildings stand out more and simplifying the map labels. Then, I made a polygon layer for each building. Just as in the digital drawing app Procreate, I found that making a new layer for each building helped me stay more organized. Next, to highlight my intended category, I sorted the plot points into different colors based on their function type. To further highlight the difference, I colored each polygon layer with its respective color and added text. Next, I added a pop-up in each location in the polygon layers. Each pop-up included a title, short description, and image of the location.
To see my map in more detail, click here
To see the CSV dataset in more detail, click here
Learning Curve in ArcGIS and Web Mapping in DH
I did have struggles with ArcGIS in the initial stages. At first, when I uploaded my data file as a feature layer, it only showed 4 points on the map, even though there were 5 locations on my CSV file. I spent a lot of time trying to debug it. I tried manually editing the data of the layer, testing new locations, but nothing worked. Eventually I uploaded it as a static item, and it worked. Also, I was having trouble with pop-ups at first because they got applied to every location. I fixed the problem by adding a pop-up to each feature separately. Despite the early challenges, I found ArcGIS to be a useful tool that is beginner-friendly and diverse in its offerings. Web mapping is a very powerful tool in digital humanities because it is an innovative way to present data due its unique ability to combine geography, data science, and history. Also, it provides an interactive experience for users to engage with the topic.
