For this lab, I chose to use an aerial photo of Carleton from 1964 as the base map. By overlaying this historical map onto the current map of Carleton, I aimed to create a visual comparison of student life today versus in 1964. I kept this layer relatively opaque to highlight where the old buildings once stood and to emphasize the comparison.
The CSV data I created includes my five most visited locations on campus. I chose to use the hotspot style to represent visit frequency, making it clear which locations I frequent the most. I also adjusted the color and size of the hotspots to enhance visual appeal and create contrast with the background.
I created a line and polygon feature layer to map out different buildings and my movements on campus. I traced the buildings I visited frequently to create building outlines using the polygon feature. I color-coded the buildings and altered the outline to make them stand out on the opaque base map. Additionally, I edited the attribute table to display the name of each location. This step took a while since ArcGIS had a lot of features I had to filter through to find the right function, but I eventually found the correct one.
I also mapped my movements by day of the week using the line feature. I traced my general path on campus for Mondays and Tuesdays, color-coding them in orange and pink. To enhance visibility, I added a shadow effect and thickened the lines for emphasis.
Web mapping is highly effective in capturing geographical patterns on a macro scale. This tool can be particularly valuable in public health for tracking the spread of epidemics and providing real-time updates, allowing for timely interventions and resource allocation. Beyond public health, web mapping techniques can also be used to generate weather maps, giving citizens a visual update of incoming weather and more. Additionally, these maps can be applied to a variety of city planning subjects like environmental monitoring, transportation management etc. Web mapping can help communities make informed decisions by overlaying spatial data with other types of statistics.
2 thoughts on “Web Mapping- Week 6 Lab”
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Hey Jennifer! I love the way you used color to indicate the buildings you go to and your paths there. Your use of the heat map is super effective in showing where the most concentrated areas you visit are. I also love how you utilized the overlayed map from 1964 because it adds another layer of detail and depth!
Hi Jennifer,
I love how you chose to use the line feature layer to create paths in your webmap. You also did a fantastic job with your design choices to enhance visibility. I also liked your point about using web mapping to track the spread of epidemics with real-time updates as I have never thought of it that way.