Week 10 Lab

This is a map of the major land owners in Gulf County Florida. This map was very straight forward and simple to create. It gave some very good tips on querying and analyzing data. I can see using some of the skills I learned in this lab in future projects for my job.

Vector Analysis II

This is a map showing possible campground locations within a state forest. The intersect tool proved to be the easiest way to combine to different buffer layers by using only one step.

Questions

1. Which tool did you use? Was there any noticeable difference between its results and the results from the instructions? The intersect tool. There was not noticeable differences between the 2 results.


2. Which tool did you use here? Why? I used the erase tool because it allowed me to use the conservation layer to "erase" areas where it intersected with the possible sites layer.

3. How many features are in this layer? What is the area of the largest feature? What is the area of the smallest feature? There are 79 features in this layer. The largest feature is 1918.8 acres and the smallest feature is 0.2 acres.

Data Editing

This is a map of the UWF campus that shows roads, athletic fields, and buildings. This was a very simple lab that showed how to digitize features. I had to be aware of how close I was zoomed in to properly digitize the buildings and athletic fields in order to only draw the building and not the shadows. I used the snapping feature for the roads to make sure there were no gaps in my data.

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.