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Module 1: Introducing Python

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Module 1: Introducing Python This week, we learned about expectations for this class in the form of deliverables and blog posts and went through an introduction to Python, IDLE, Spyder, and Python within ARCPro. We also learned how to calculate using pseudocode and about the Zen of Python, which I thought was very thought provoking and really liked.  I felt that this lab was pretty easy to follow and learn from, but I can see the great opportunity for things to become more complicated as we go along. The most trouble I experienced was retrieving The Zen of Python from Spyder or Python on ArcGIS Pro. I ultimately did it, but I am not confident in my skills there. I am also iffy about pseudocode and will find out if I am on the right track when my assignment is graded and by the feedback I receive. I really appreciated that the lab for Module 1 was useful for the course overall. A lot of time was previously spent creating folders and transferring data each week in my pre...
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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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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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