Module 6 Part 2: Georeferencing

The 3D scene depicted above is the location of the University of West Florida. I was tasked to build a 3D map of the campus, which included buildings, imagery, roads, and even LiDAR for elevation. This project began with geo-referencing the two image files using control points to building polygons that were already collected around the campus. I added a new building that was not previously on our map and then proceeded to add a new road that was also not there, they are highlighted in the bright green. After that I used a survey plat to georeference Heritage Hall on the UWF campus. 

 Module 6 Part 1: Georeferencing

The map above displays multiple ring buffers to calculate multiple sets of distances around a point. We were given a task to set a buffer area near an eagle nest site just east of the University of West Florida. By satellite images, we geolocated buildings and roads, we were able to determine the location of the campus. We then added our geolocated nest site for the eagles and went to work. We established that the two protective buffer zones should be 330 FT and 660 FT around the eagles site.

We then added essential map elements.

 Module 5: Geocoding

Schools within Manatee County

Module 5 consisted the use of Geocoding. For this map, we used Manatee County and located schools using X and Y coordinates. We used geocode to pinpoint schools with actual addresses then used "Rematch Address" to locate the schools with missing addresses, in this map I had 6 missing addresses and was able to use "Rematch Addresses" to get a closer and more accurate address in order to find the mismatched ones. I changed the data to a more local datum for NAD 1983 HARN State Plane East Florida in US feet. 

Module 4: Vector Analysis

Module 3: Projections

Projections Lab for Florida Counties

In module 3 we learned how to use projections and why they are important when determining what to use in every project and why they need to be consistent. Different projections can change the outcomes of measurements by a lot. As you can see by the graph, the largest difference between certain projections and counties was nearly 20 miles, which was Miami-Dade County and between Albers and UTM 16 N. When using different projections, data can be located in different spaces if you don't use the use the same one for your project. Learning how to use projections properly and effectively is going to take time to get used to. The different maps show the different projections used (Albers, UTM 16 and Florida State Plane N) and within those three maps are the four counties selected (Alachula, Escambia, Miami-Dade and Polk). Below that is the graph showing the difference in each county with each projection used. Some vary greatly and some are fairly close in size.