GIS 4048 - FINAL

The task for the final was to select a problem and provide a solution using ArcGIS. My choice was looking at the evacuation needs for Franklin County Florida, on the coast of Northwest Florida, in the event of a castrostophic emergency.


The first map is a base map with four seperate views. One showing Franklin County with transporation networks, communities, public lands and land use data. The second view is a regional view showing surrounding counties, transportation, including access to I-10 and exisitng evacuation routes. View three is map create using the Euclidian distance tool to display the distances required to travel to access I-10. The last view is a point density map of Franklin County, showing populatiion concentrations ...

PRESENTATION

REPORT

Week 10 - Home Land Security & Crime NORAD

Week 9 - Home Land Security & Crime MGT

This assignment included a manipulation of data from several sources to create a geospatial database for Homeland Security for the area around NORAD.


I created two screen shots in order to display the entire table of contents.

Week 8 - Washington DC Crime

Washington D.C. basemap.
Distance from police stations, .05 mile, 1 mile and 2 miles.

Density of crimes in D.C.


Occurrence of auto thefts by time of day

Week 7 - Location Decision - On Your Own

Military Housing Location

The assignment was to create scenario “On My Own” of selecting a site based on criteria I selected. The topic I chose was potential areas for military housing near the bases located in Okaloosa County Florida.



The first map I created was a base (foundational) map of Okaloosa County. I selected data from the FGDL website and chose Albers Conical Equal Area as my projection. I added data layers for the military owned land, highways, municipalities and water features to complete the map.

Next, I asked the question, what are the factors that are relevant to selecting areas for potential new military housing? The primary needs were, distance from the installation access gates, proximity to sufficient schools, and distance to interstate travel.



A map was created depicting an overlay of distances from the main access gates of the military installations on the county. This map created by using the Spatial Analysis Tools, Euclidian Distance Tool. I created a new point feature file and added the points for the three main access gates of the military installations. I used this feature to overlay distances from, clipping them at the Okaloosa County boundary. I then reclassified the data using 10,000 meter intervals, creating five intervals.

Next I chose to evaluate distances overlaid on the County. I used the Euclidian Distance again, selecting the layer for I-10 as my feature with the County as the clipping feature. Once again I reclassified the data to create a scale of 1-9 for the interval.

The next map was a little tricky. I wanted to determine if a municipality had the schools sufficient to house kids associated with the new troops. For this I used two layers, the first one from the National Atlas for the United States for the community data and one from the Department of Education and clipped it to the county boundary. Next I summarized the data from the DOE by city name, selecting student population as a criterion. Then I joined the summary table to the Atlas data to give me a school population by community number. From this I used the Point Density Tool to give me a raster of the population. Once again I reclassified to nine different classes, with class 1 being 0-99 and up.

The last step of my analysis was the creation of the results. Map 1 is a depiction of creating a tool for performing a weighted overlay using an equal weighting factor for each of the criteria.

Map 2 was created by the same method only giving equal weight to distance from I-10 and bases with a greater weight to the schools.

The pros and cons. The pro of this method is that two areas that clearly meet the test are the Niceville and Crestview areas. They have substantial school capacity as well as being the closest in proximity to the base. Crestview rates high due to its location adjacent to I-10. The con to this method however is that available properly zoned properties were not factored into the decision. Neither was the capacity for the roadways to carry additional vehicular traffic without significant upgrades.

Week 6 - Location Decision - Gainesville

Gainesville Housing Location

The assignment was to analyze the prescribed data to ascertain the preferred location for housing for the couple interest in relocating to Gainesville, Florida. The wife, a cardiologist expressed a desire to locate near the NFRMC. The husband, a college professor, conveyed his desire to be near the university. The additional criteria offered was a certain level of affluency to the neighborhood and a 40-49 year old demographic. First I created a base map of Alachua County Florida depicting managed public lands.



Next a map depicting the four separate criteria was created. Four views were created showing the distance from the hospital, distance from the university, census block by home values, and census blocks showing the greatest concentrations of 40-49 year old occupants.









The third was a map that used two different weighting factors to analyze the criteria and produce an output to demonstrate areas that best fit the criteria. The first view shows three significant areas using a weighting of 25% weight on each of the preferences. The second view was adjusted to show an increased importance to relative distance to the work place. The second view showed a shift in the recommended location.

The pros of using this criterion for selection allow the end user to minimize a search area from accommodating housing. This allows the user to save time by dismissing areas that don’t fit their preferences.
The cons of this method are more subtle. Condominiums and apartments complexes could skew the numbers. Also, eliminating areas of town by this method prevent a purchaser from finding those potential gems that are in less obvious locations.

Week 5 ‐ Urban Planning and Impact Assessments