Penultimate Map Drafts

 




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Blog Participation #1

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  I found this choropleth map online and I feel like it is exemplary for the following reasons. 1. The data class used works for the dataset. The data looks to be evenly distributed among the classes using quantile classification which allows for the map to be more visually appealing for the viewer because one dataset doesn't seem to overwhelm the entire map. 2. The map has everything it should have, including a title, legend, cartographer name, and the source of the data.  3. The colors that the cartographer chose work well for this map. The colors go from white to a dark shade of pink and doesn't make it difficult to look at.  Montano, Derek. United States Adults Ages 20-24 by County . 18 Jan. 2024. Blogs of Maps , Anete Ezera, https://infogram.com/blog/wp-content/uploads/2015/11/Choropleth_Map-610x463.png. Accessed 12 Feb. 2024.
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Cartography Maps #2a & #2b

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  Both maps #2 and #3 are maps that I made regarding the population of Livingston County by town collected by the 2020 US census. Map #2 is a dot-density map that shows the population of each town, one dot being fifty people. Map #3 shows a choropleth map of the population of each town, with darker values showing a higher population. Both datasets I got from my professor on ArcGIS, and each map took me around an hour to make. Both map's purpose is to convey population information for those living in Livingston County in a way that makes it easy for them to understand. The coordinated reference system (CRS) of these maps is the NAD83 New York West EPSG: 2262 which highlights Western New York. I still don't fully understand how to manipulate the map legend and am still working to figure out how I can remove something from the map legend itself but still have it shown on the map. Here is a link to a slideshow that shows that I made the maps in ArcGIS Pro-  Map Screenshot Collectio
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Blog Participation #5

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  This map is exemplary for the following reasons: 1- It is an accurate map of London except all features are replaced with font that fills in the space for each feature (street, river, park, etc). 2- Depending on the size of the feature, some fonts are bigger than others representing what should be focused on more than other features. 3- The color of the font is based on the type of feature it is associated with. The river has blue font while roads have a maroon font. London Typographic Map . https://th.bing.com/th/id/R.d21044d74e4356cc8b69b54315222341?rik=Zs%2brAnlR59K5QQ&riu=http%3a%2f%2fcdn.notonthehighstreet.com%2fsystem%2fproduct_images%2fimages%2f001%2f087%2f713%2foriginal_london-typographic-map.jpg&ehk=4%2fzeDExjpPfqPRUv%2fUFakfJLc8I1jh36bEFOEV0fdkQ%3d&risl=&pid=ImgRaw&r=0.
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