Georeferencing Rasters

This is a map of the UWF campus with 2 georeferenced aerial photos. The top half is georeferenced with a 1st order polynomial and has an RMS error of 9.775. The bottom portion of the map is georeferenced using a 3rd order polynomial with an RMS error of 2.0183. I had to start over a few times with this lab because I did not realize that I had the first photo selected when I was trying to georeference the second one. Once I realized my selection was wrong the I restarted and finished fairly quickly.

GIS Data Search Lab

This is a map of Hendry County in south Florida. I found data from multiple sources such as the GIS Data Depot, FDGL, and LABINS. Getting the data was fairly easy, but displaying it on the map in a way that was easy on the eyes was a little more difficult. In order to get all the data displayed on a single map I used transparency combined with colors that contrast. I made sure that colors did not contrast too much so that your eye is not drawn to one particular part of the map, but were different enough to separate the different features.

Earthquake in Haiti

This is a map put together by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). It shows a lot of estimated information about the event such as the location of the epicenter, number of deaths, number of injuries, and number of displaced people. I think it a very good map because it gives a lot of information with out being too cluttered.

Week 4 Projections

This map shows various projected coordinate systems and how they affect maps. Alachua county represents the part of the map that is most consistent in square mileage calculations between the three coordinate systems while Miami-Dade county represents the part of the map that shows the biggest inconsistency in square mileage calculation.

Week 3 Lab

This is a map of population values in Mexico by individual states. This was a simple map to create and I had no problems creating it.

This a map of Central Mexico that shows urban areas, federal highways, and two river types. It also shows an additional data frame that displays an inset map. This is a very neat feature of the progrma that I did not know how to use before.

This a digital elevation map (DEM) of Central Mexico. I it uses a stretched symboloy to display the elevations throughout the region.