Friday, June 4, 2010

Hurricane Wilma




Hurricane Wilma devastated Key West leaving the greatest impact on developed land, this would greatly affect the businesses and people living on the island. Long term the damage from Wilma will have an effect on the economy and residents of Key West. The cost to rebuild, attract business and tourism back to the region could reach into the tens if not hundreds of millions and take years to get back to where the region was before the hurricane.

Since only 92 % of the island was flooded the damage to health facilities and infrastructure was devastating. Only two churches and one school were not in the area flooded by the storm surge, the majority of the roads were flooded and all of the hospitals were flooded. A portion of one of the non-flooded churches or school can be set up as a command center for emergency responders, and the remaining area can act as health facilities and shelters while restoration is under way. Priority for restoration needs to be on health facilities and roads; to treat and transport any injured persons. Secondary priority needs to be on schools and churches to act as temporary triage and shelter points.

While there is no way to completely prepare for every scenario that a storm like Wilma can throw at Key West, taking the information learned from past storms can help develop a strong game plan. Looking that the areas that flooded, and were damaged the most can help first responders target those areas immediately after the storm. Command posts can be established ahead of time to deal with the impact, and facilities can prepare for the onslaught that will be headed their way.

Tuesday, May 18, 2010

Same blog—Different name

You get the point, why re-invent the wheel when I can just change what I call it. I'm looking forward to another action packed semester of GIS.

Saturday, April 10, 2010

Wednesday, March 31, 2010

Week 10-

This lab was very clear about what needed to be accomplished, join a database file with a shapefile, to calculate the acreage of parcels, and then use the select by attribute functions to determine the four largest landowners. I wish I had done this over spring break.

Wednesday, March 24, 2010

Week 9 - Overlays























Q1: I used intersect to create my layer, visually I didn't notice a difference. However; in the attribute table I did notice there were two records with intersect, compared to four with union.

Q2: I used the erase tool for my results, because I needed to subtract the overlapping areas to eliminate them from being candidates for possible camp sites.

Q3: I ended up with 81 features, my largest area was 775,304 sq. meters, and my smallest was 748.11 sq. meters.

Wednesday, March 3, 2010

Week 7

This was a great, quick assingment, that helped me recharge my batteries quite a bit. Everything clicked with this project, the only complaint I have is that ESRI spoon feeds you through thte entire exercise, so it makes the challenge dissapear, I know for me just reading and following everything step by step, makes it harder for me to actually learn something. I wish their assignments didn't hold my had as much as they do.