Week 10

I had some trouble with a few parts in this lab. Turns out that most of these problems came from projection issues...of course. Anyhow, I learned a great deal about ArcScene and 3D Analyst from this lab. I posted my Line of Sight and Heliport map.

Week 8 Crime Analysis

I've attached the kernel density map for stolen auto information, juvenile crime within 1000 feet of schools, and the basemap for crime in D.C. The entire lab went smoothly with the exception of the graduate project. I tried several address locators to geocode the juvenile crime table with failure at every attempt. I ended up using US One Range for the locator, and it matched 172 crimes.

At any rate, I feel that the drug-free zone had some effect on crime in the area. However, it is hard to say with an incorrect amount of crimes geocoded. I am astounded to find the type of crime in some of the Elementary school zones included assault with a deadly weapon.

Week 6 Post

I uploaded my project 2 mixute map and overlay.

I think the only serious pitfall I had for this project was due to poor organization. I accidentally listed my scratch workspace under the week 3 folder...whoops. Anyhow, it caused some broken link issues. Besides that, the project went pretty smoothly.

Oil Spill

http://students.uwf.edu/cnr12/OilSpill.avi

The Deepwater Horizon Oil Spill has been a massive environmental disaster. The oil spill extent increases as thousands of gallons of oil spill into the ocean each day. Such a disaster is accurately tracked using GIS. GIS analysts use sophisticated software to map the oil as the extent, density, and pattern of the oil shift. Many tools are at the finger tips of these analysts to create and portray disaster maps to the U.S. Coast Guard, government officials, and American citizens which help people avoid, clean up, and warn others about the oil. The role of GIS in disasters like these is simple but critical: provide accurate, visual and tabular information to end users to influence correct action. Without GIS, it would be extremely difficult to manage such massive disasters.

Oil Spill Part II

I had a great deal of difficulty projecting the raster image and getting it to align with my study area. I finally just georeferenced the image to the study area instead! It seemed to work just fine and was precise. The following are map of the threatened species, booming operations with management, and sensitive land areas. Everything went pretty smooth except for the projection issue.

Week 3 Hurricane Map

I've uploaded the first two deliverables on the blog. I enjoyed making the graph which is also on the 2nd deliverable map. I had no idea that Spatial Analyst had simple mathematical tools. It proves very useful!