http://students.uwf.edu/mpj2/mod7poster.ppt

Well that went a lot better than i thought. Other than my road layer taking a full hour and a half to clip I had very few issues.

Week 6 Project 2

The purpose of this project is to illustrate the decision making tools available in the ArcGis program. This was shown by using Arc to narrow down search areas for an older couple to look for housing after the move to Alachua County/Gainesville City area with a set of given criterion. The criterion are as follows: proximity to grandchildren, North Florida Regional Hospital (work), University of Florida (work), community centers, bus routes, areas with a larger percentage of 65 and older and areas with higher home values. All of these criterions, except home values and age/area percentages, are illustrated in the Alachua Area Map with public lands included to show the number of parks in the area.

This second map shows the 65 and over percentage, property value, and community center proximity maps. The first two show the highest amounts in the lighter colors. You can see that just along the outer areas of Gainesville there are areas of higher property values and higher percentages of those over 65 years of age. The community center map shows the cluster of centers in the city area and some of those in the area around. This map was done by importing the property value figures from the 2000 census into the program and joining it with the census tracts by the standard id number. Once the data was converted the feature was converted into a raster and illustrated by the value data. The same was done with the age data with data already possessed from that same census.

The third map shows the proximity of four of the initial criterion by using Euclidian direction and standardizing the interval to provide a target like proximity map. In it you can see the areas closest to each spot that the couple would like to be near to.

This fourth map shows the first weighted overlay map. This map shows several possible housing areas that meet four of the seven core criterion. Each was weighted equally at 25%.

This final map shows an alternately weighted map with house values at 15%, 65 and over % at 15%, bus and community centers at 5% each, University proximity at 15%, Hospital at 20% and family proximity at 25%. Two of the same areas are highlighted here as in the first overlay.

In the Alachua County area the best matches lay within the Gainesville City area and all criterions can be met in these areas presented.

This first map shows the university student occupancy rate. I didn't have much if any problems here. I enjoy learning how to manipulate the data and show it in different ways. Also the query functions are pretty intuitive.



This second map shows the buffer area around a proposed construction site and the proposed traffic vs existing traffic values. I have to use the buffer and merge tools a fair amount with my work so this was easy to start but the adding of the tables and merging of tables by specific data was new to me and will be useful.

Deep Horizon Oil Spill Participation project.

animated file: http://students.uwf.edu/mpj2/oilparticipation.avi


GIS is used in disaster response to provide accurate data to disaster relief workers and victims. This is done in a wide variety of ways: Extent and nature of destruction patterns, damage locations, density and assessments, infrastructure closures. All this data allows for people to get into and out of a disaster area safer and make better decisions to improve the efficiency of the response. Maps can provide a clear way to bring in equipment and aid, as well as, the areas most in need. As the response time moves from the initial rescue stage into recovery and rebuilding, GIS provides insurers and government aid agencies with ‘hotspots’ of damage so that applications for aid from those locations can be pushed through with priority. As clean up continues damage extents can be used to calculate clean up and rebuilding cost and provide for initial projections on the overall investment required to get the effected area recovered.

GIS is being used currently in these same ways to provide data for those at work on the Deepwater Horizon Oil Spill. Maps projecting the extent (both current and projected) of the oil spread, effects from both current and weather patterns, sensitive shoreline, fisheries and other wildlife at risk, staging areas, ports, command post and aid activity. This data allows whoever is currently in charge the ability to send the fish and wildlife people where the greatest numbers of animals are at risk. It also allows for beach and fishery closures to be made based on where the oil spread has drifted. As the spill is abated and the full clean up effort is begun GIS will be used to estimate damage and clean up cost. GIS is a useful decision making tool that can provide a more efficient means of response to disaster relief.

Deep Horizon Oil Spill Project

The Deep Horizon Oil spill prevents a significant risk to all coastal and biological resources in the Gulf of Mexico. This first map shows the vunerabile coastal areas of St. Joseph's Point, Florida. This spot is a state managed park and natural tourist area. The map shows the coastal types overlaid onto the aerial image of the point to show the large amount of coastline at risk. 61000 feet or 11.5 miles are at risk with only a small amount of the island surrounded by riprap or man-made structures.

This second map shows the boom operations, spots of interest of the point; as well as, the habitat ranges (with in the study area) of this area's terrestrial and aquatic life. The boom projects are still in an early phase with more planned to offset damage to habitat and sensitive coastal areas.

This next map shows the coastal and biological areas overlaid to the tif raster. I couldn't get this picture to smooth out so i used the aerial and county boundries for the other maps. I wanted to show this because it was in the directions but i do no feel it does a good job of showing the biological impacts due to the interference.

This last map shows the biological types at risk and the coastal risk areas. This area has a large amount of aquatic invertebrates that could be decimated by the oil spill. These invertebrates play a large role in the local fisheries and could have long term economic reprecussions. The reptiles, and terrestiral mammals are also at risk due to they're dietary activities leading them to oil exposure.

This project proved quite difficult for me to beat together. More often than not it gave better than it got. I couldn't get the tif file to show for the longest. The projection issues were horrible and I haven't slept more than 4 hours in 2 days due to work/baby/class so please forgive the rambling.

Table

This table shows the total amount of area touched by the storm surge, type and the area spared.

Storm Surge Project

This map shows the effected infrastructure of Keywest that was damaged by the flood. Both hospitals, the airport and all but a single school and 2 churches were hit by the surge. This damage causes a lack of suitable shelters for flood victims and can make the aid process more chaotic.

This map shows the percentages of each land type flooded in the storm surge. You can see clearly that Key West is largely developed and the majority of the areas hit were developed.

Here you can see the total amount of flooded area caused by the storm surge.

This map shows the elevation and bathymetry of Keywest. You can see that the majority of the land lies below 10 feet above sea level with the highest areas being around the 12 foot mark. Just 4 feet above the surge.