Layer |
Data Type |
Publication Information: Who
Created the
Data? |
Time Period Data is Relevant |
Spatial Horizontal Coordinate
System |
Attribut Values |
Resolution for Rasters |
airports |
Vector |
US Geological
Survey Reston, VA
Tele Atlas North America, Inc., ESRI |
2006 |
GCS_WGS 1984 |
N/A |
N/A |
curches |
Point |
Tele Atlas North America, Inc., ESRI |
2006 |
GCS_North_American_1983 |
Census data |
N/A |
counties |
Vector |
US Geological
Survey Reston, VA |
|
GCS_North_American_1983 |
County |
N/A |
elev
|
Rastar |
US Geological
Survey Reston, VA |
1999 |
GCS_North_American_1983 |
Elevation is expressed in meters |
1 arc second
0.000278 decimal degrees
30 meters |
hospitals |
Vector |
Tele Atlas North America, Inc., ESRI |
2006 |
GCS_North_American_1983 |
Street Data
|
N/A |
landcover |
Rastar |
US Geological Survey Souix Falls, SD |
2001 |
NAD_1983_Albers |
N/A |
1 arc second
0.000369
30 meters |
Q7) What are the names of the counties in order from
west to east?
Hancock County, Harrison County, and Jackson County.
Q8) What does this map show you about the Gulf Coast?
Q9) Describe the spatial distribution of features.
See Map above.
Q10) How might these be affected by a large storm
surge?
Most all maps reveal the major vulnerability of this
geographic area which is the low lying areas that
make up the south coast states. When viewing the map that shows
Interstate 10, it becomes clear that it acts as a
rough demarcation line.
Q12) Record the sum, which represents the number of
pixels that were flooded.
1,383,223.
Q13) What does the graph tell you about the greatest
impact of the storm surge?
Everything south of Interstate 10 will be in great need of relief and
various services. We can also see that Interstate 10
will be very important way to bring in relief and
take residents out.
Q14) Describe the distribution of the flooded areas
and how the flood might affect the long-term sustainability of the
region.
It seems evident to some one like myself who does
not have an economic stake in the region that for
long term sustainability development must be curtailed in the lowland
and flood prone areas. The floodedlc layer provided
very specific areas of damage.
As you can clearly see above (even thought this map is small) that all
the Hospitals are located in areas that were severely flooded. This
should reinforce the idea that Hospitals need to have strict building
codes so they may endure severe catastrophic damage in hurricanes and
still be able to deliver medical services.
Hancock County Hospitals
Harrison County Hospitals
Jackson county Hospitals
Gulfport-Billoxi Regional Airport
Stennis International Airport
Trent Lott International Airport
Q17) If you add a field called ACRES and use the
Field Calculator, write the formula that you would use to calculate
acres.
ACRES = COUNT*900/4046.68
(I'm not sure I understand the question, this is the formula the book gave and I used)
Q18) If you add a field called SQMILES, write the formula that you would use to calculate square miles.
SQMILES = ACRES/640
(I'm not sure I understand the question, this is the formula the book gave and I used)
Type of Land |
Acres |
Square Miles |
Developed |
11,541 |
18.0328 |
Not Flooded |
103,016 |
160.9625 |
Barren |
176,009 |
275.0147 |
Agriculture |
386,444 |
603.8193 |
Wetlands |
509,072 |
795.4264 |
Forest |
514,379 |
803.7186 |
Water |
554,574 |
866.5231 |
Stennis International Airport
Trent Lott International Airport
Q17) If you add a field called ACRES and use the
Field Calculator, write the formula that you would use to calculate
acres.
ACRES = COUNT*900/4046.68
(I'm not sure I understand the question, this is the formula the book gave and I used)
Q18) If you add a field called SQMILES, write the formula that you would use to calculate square miles.
SQMILES = ACRES/640
(I'm not sure I understand the question, this is the formula the book gave and I used)
Type of Land |
Acres |
Square Miles |
Developed |
11,541 |
18.0328 |
Not Flooded |
103,016 |
160.9625 |
Barren |
176,009 |
275.0147 |
Agriculture |
386,444 |
603.8193 |
Wetlands |
509,072 |
795.4264 |
Forest |
514,379 |
803.7186 |
Water |
554,574 |
866.5231 |


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