Week6: 4 Maps Approach to Decision Making

This is Deliverable 2 for week 6 in Applications in GIS. This map is composed of 4 different maps. Each map is associated with a known parameter for the couples decision making process.
The first is proximity to North Florida Regional Medical Center. I used the same color ramp for all my maps. Green to Red. Green being good. I altered the closest proximity for easier visual impact.
The second map is of the proximity to UF. I used the same techniques to highlight the closest region.
The third map is of the percentage of people in each area 40-49 years of age. The couple wanted this to be their third evaluating parameter as they want to be around people their own age.
The fouth map is of mean home values as the couple want to be in a good area with high mean home values.

Week 6 Basemap of Alachua County Florida

This is Deliverable 1 for Week 6 project in Applications in GIS. This is the basemap for Alachua County, Florida. It details the different public land areas and ownership of those areas for the study area.I have included Census 200 tract, places, and roads to get your bearings of Alachua County.

Week 5 : Urban Planning and Impact Assessment

This map shows the various areas and their LQ value which is a value assigned to different industries by the amount of financial gain they provide to the local community through exportation of products. Any 1 and higher are essential businesses due to exporting of goods.

Week 5 : Urban Planning and Impact Assessment

This shows the student occupancy rates for the living areas around Pewter University. I describes the amount of students living within each building area. The map also divides the areas into percentage of students to total populated for each area.

Week 5 : Urban Planning and Impact Assessment

In this map we are assessing what sort of impact the new building being proposed is going to have on the road that its is located on. You can see that the area closest to the proposed site(Local Area) is impacted much more than any other area on the street.

Participation 2-4: GIS Role in Oil Spill

GIS plays a vital role in disaster response. It can be used to assist in the efforts of first responders, Environmental and Federal Agencies, National Wildlife and Fishing Agencies, and in the efforts of local business to be prepared for natural disasters.

With respect to the Deepwater Horizon Oil Spill, GIS has been used by first responders to track the extent of the oil and its movement. GIS has played a key role in the efforts of first responders. It has done a great job in showing areas of concern for people on ground zero. Maps have been made to show the flow of the oil with respect to landfall.

Environmental and Federal Agencies have used GIS to produce ESI index maps of the various species and conservation areas that are going to be effected by the oil spill. National Fishing Agencies have used GIS to map out the oil spill in order to close boundaries for fishing both in offshore and inland waters.

Finally, local governments and businesses are using GIS to access the economic impact that this catastrophe is having on the region. GIS might not be the cure for a natural disaster like the Deepwater Horizon Oil Spill, but it sure has played a vital role in the initial efforts in the area to make decisions based on the latest data available.

Horizon Oilspill: Booming Operations

This is my map for the booming operations in the Fort Walton Beach Area. I have divided the operations into five categories. I have also included a chart to show the types of operation, how many booms in each, and the length in feet of the booms.

Horizon Oilspill: ESI Species Areas of Concern

On my second map, I have detailed the areas where susceptible habitat and species are located. I used the guidelines for Alabama from the readings to use appropriate horizontal hatched colors to represent each types of species and the areas where they are known to survive or have been spotted in the last year as per Alabama guidelines. I found that I could not represent each species as a symbol. So this is how I did it. I also included a chart with identifyable species of each type on the map.I also included my Socecon point data to show that there are 26 points. 21 marinas, 4 beaches, and 1 airport.

Horizon Oilspill: ESI Areas of Concern/Management Areas

I chose the area around Fort Walton Beach. It is actually tile 17 in the South shoreline and bay area of Oskaloosa County, FL.This is the first of 3 maps. I have highlighted the ESI Areas of greatest susceptibility to oil. I tried to use appropriate colors for the areas. I also have included Management Areas for easier access to Fedeeral and State help.

Fishery Areas Closed Due to Oil Present: 05/25/10

This is my Google Earth image of my FisheryClosing.KZM file. I worked on this for over ten hours, running into problemson just about every step. Then on my last attempt it worked perfectly. I don't exactly know what I was doing wrong. But I sure am glad to be through.

Hurricane Katrina:Types of Lands Affected by Storm Surge

I have included the approximate areas which flooded during Hurricane Katrina. I have indicated the land types that flooded includ Agricultural,Barren,Developed,Forest,Not
Flooded,Water, and Wetlands. The chart also shows a visual representation of the types of lands which flooded and the associated percentages.

Hurricane Katrina: Map of Important Features

Hurricane Katrina was devestating to the coastal regions of Mississippi. The map includes the elevation/bathymetry of Hancock,Harrison, and Jackson counties along the Mississippi coast. I have included places were census data is collected,types of water(Marshland),barrier islands, and hydrography.

Final Project Powerpoint

Final Project Summary

Facebook

Facebook: "The video is under 1024 MB and 20 minutes."

Week 11: Fun Map 3-D

This is a 2-D jpeg image from the 3-D image in ArcScene. I adjusted the image to reflect the elevation. I have added hillshade and adjusted the color ramp to enhance the image. I also rotated the image so that the 3-D aspect can be more easily scene. This is hard to do in 2-D, but I could not find a way to capture the image in 3-D and export it to the blogger without problems.

Week 11 Map 3: Zonal Reclassification

This is deliverable 4 for week 11. The assignment was to reclassify vegetation for study area only. So following instruction from module we used the remap to reclassify the drought tolerance for vegetation in the study area.I chose the color ramp because it is easily distinguishable between levels of tolerance. The no data areas are white. I was able to add all reqquired elements of the map including a legend, neatline, scale bar, north arrow, and source data.

Week 11 Deliverable 3: Model Snapshot

This is the snapshot of my model. The model was run in ArcMAP with modelbuilder.

Week 11 Map 2: Recreation

This is second of 5 deliverable for the week. It showcases the ability to label features using ArcMap 9.3 I followed the instruction in module 1 " add custom text to your maps" to include feature labels of water bodies and recreation features.

Week 11 Map 1: Cities and Roads

This is the first of 5 deliverables for this week. I have followed instructions layed out by Module 1 on Labeling and Annotation. I included all of the required map elements except for a legend which was too excessive.