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Showing posts from May, 2024

Map #8

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  For the last map, I followed an ArcGIS tutorial on how to use Adobe Illustrator when making maps, yet tweaked the end result a bit so that it became a proportional symbol map instead of a dot density map. I followed the tutorial pretty closely, yet I had some issues with the logo portion of it. When attempting to fit the map inside the logo it simply wouldn't work. I was hoping to have the map be inside of the logo and implement a drop shadow yet unfortunately it didn't work out. For the proportional symbols, I followed the instructions for the most part but changed the symbology before I added the map into Adobe Illustrator. I decided to use red dots to make it pop from the map. Overall, I think the map turned out alright, but I would've liked to see the map turn out like the final result in the tutorial. 

Final Map Drafts

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Penultimate Map Drafts

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Blog Participation #11

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  For this week's blog participation, I picked a terrain map of the Grand Canyon and find it exemplary for the following reasons: 1. The terrain on this map is pretty intricate so that you can get a good understanding of the canyon's cliffs and the Colorado River. 2. The map has different color shades depending on the type of terrain that is shown. The deeper into the canyon, the browner the map becomes while the top has a shade of green to represent grass.  3. The map is labeled well so that viewers of the map can see different names of areas of the canyon. This could prove helpful for people hoping to visit or hike the canyon one day. Source: https://home.nps.gov/grca/planyourvisit/upload/GRCAmap5s.jpg

Blog Participation #10

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  For this week's blog participation, I selected a multivariate map and I think it is exemplary for the following reasons.  1. It combines a dot density map with a proportional symbol map where dots are larger or smaller depending on the data.  2. The colors of the dots correspond with whether or not the point represents high, medium, or low amounts of a mosquito. 3. The map provides a dark gray layer over the Southern part of the United States that shows where the observed extent of them is in the US. Source: https://www.e-education.psu.edu/geog486/sites/www.e-education.psu.edu.geog486/files/Lesson_07/Images/7.3.2.PNG