This week’s natural hazard topic was Hurricanes. The lab had two parts, the first to create a
tracking map of Hurricane Sandy and the second to perform a damage assessment
post Hurricane Sandy for one street in Tom’s River Township, New Jersey. We reviewed the contents of an excel
spreadsheet and then created data from it using the Display xy tool. These became our tracking points for
Hurricane Sandy. We learned how to use
the Points to Line Feature tool to create a polyline between the Hurricane
Sandy track points. In order to enhance
the aesthetics of the map, we customized the symbology for the hurricane symbol
by using the Marker Symbol Options. We
used a VB expression to customize the labels for the track points so that they
showed the wind speed and barometric pressure at each point. We learned to use
the Grids option in our Data Frame Properties so that we could include and
label Graticules (lines dividing the map by meridians and parallels). In the damage assessment portion of the lab we
created a new file database to house our assessment data. Because we had numerous rasters, both pre and
post storm, we needed to create raster mosaics of each class. This information was stored in our
DamageAssessment.gdb. Within the same
geodatabase we created a new Feature Dataset to house information specific to
New Jersey. Within that data set we
added multiple feature classes to create the counties, municipalities, state
boundary and road systems for New Jersey.
We used the Effects Toolbar to enable the Flicker Tool and the Swipe
Tool. The Swipe tool allowed us to see
both the before and after imagery by simply sliding our mouse in the direction
we wanted the top image (post storm) to move.
This was a huge help during our visual damage assessment. Another important skill we learned was how to
create attribute domains which can be shared across feature classes, tables,
and subtypes within a geodatabase. We
created Domain Names for Inundation, Structure Damage, Wind Damage and
Structure Type. We assigned the domain
properties, coded values and the user-friendly description of the coded
values. This greatly reduced the
possibility of entry error because it created drop down fields for the user to
select the appropriate value. We then
created a feature class to contain our damage assessment points and added the
fields we had created to our feature class.
After adding some base map data from our New Jersey feature Dataset we
were able to start editing the StructureDamage feature class by creating
features and attributes. This is where
the swipe tool came in very handy. Once
the points were created, we symbolized them according to damage level. We then used the attribute table to extract
information to compile our damage assessment table which we placed on the
map. We added some inset maps for
location purposes as well as all required cartographic elements to produce our
final product.
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