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Module 9 Lab: Flow Line Mapping

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This weeks module covered flow line mapping. Flow maps are used to show movement of people, commodities, ideas, technology, wind, and ocean currents as well as many other phenomena between locations. In this lab, we focused specifically on a distributive flow map that mapped the proportion of immigrants into the United States from different regions of the world using population data from 2007. According to the information given in our textbook, this map most directly aligns to the second subcategory of distributive flow maps. Each flow line is a different size, proportional to the number of immigrants traveling from its respective region. I determined the size of each line by applying a formula to the 2007 data for each region on an excel spreadsheet. Since visual hierarchy and a good figure-ground relationship are extremely important in flow line mapping, I stylized the flow lines with effects like drop shadow, 3D Extrude & Bevel, inner glow, and transparency to make them s...
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Module 11 Lab: 3D Mapping

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This week, we were instructed to use the ESRI training module to learn about 3D maps. I studied their background, the data required to create them, and their applications.  Three dimensional mapping uses TINs, raster data, and z-values to create a map that shows depth. The values can portray proportional elevations of terrain and manmade features such as buildings.  In my process summary, I described why a 3D building map is advantageous: A 3D building layer reveals patterns that are not visible in 2D. As noted in ESRI training, 3D modules can help one visualize how buildings will interact and merge with other buildings and landscaping. They can also help one visualize a route more accurately as the buildings they will encounter can act as landmarks, a feature that is unavailable in a 2D map. There were three major parts of the lab. The first was the focused  solely  on ESRI training using ArcScene which was composed of six exercises.  Exerc...
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Module 10 Lab: Dot Density Mapping

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This week, we learned about dot mapping and created a dot map of South Florida's population density. Dot mapping is used to display information while revealing the underlying patterns in the enumeration units of raw data. This is accomplished by reviewing the concentration of dots on areas of a map. A dot equals a predetermined amount of a phenomenon and it is placed approximately where that phenomenon occurs. This reveals patterns in data, in this case, that the population of South Florida is more densely concentrated by Miami and St. Petersburg. There are three main ways to place the dots. For this map, the dots are geographically based, which is the most accurate and error reducing method. As noted in the instructions, creating this weeks lab was not extremely complicated, but there were a few steps that took a significant amount of time. The first was troubleshooting to find an appropriate size for the dots while maintaining that there was at least one dot in ...
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