Hazards: Damage Assessment

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Hazards: Damage Assessment

GIS 5100 Applications in GIS- Module 5

Student Learning Outcomes:

• Analyze data stored in a Microsoft Excel Database.

• Create data using the Display XY tool

• Create data using the Points to Line Feature Tool

• Explore the Marker Symbol Options

• Create a VB script for Labeling

• Prepare data for processing in a geodatabase including proper nomenclature.

• Perform a raster mosaic

• Explore the Effects Toolbar using the Flicker and Swipe Tool

• Prepare Post-Storm Damage Assessment Data using Attribute Domains in a Geodatabase

• Locate and identify attributes based on storm damage

• Generate a report/table based on damage results for the given study area


Part A: Hurricane Sandy Background

Using data collected by FEMA and NOAA I created the map below that tracks the storm's progress and displays the category of storm, barometric pressure, and wind speed. The map also shows which states were most affected (FEMA states.

Tools Used:

  • Select
    • export selection to new layer
  • Points to lines tool
  • Manipulate Symbology
  • Format color scheme
    • continuous red to green
  • Format symbols ( storm classification symbols)
  • Labeling
    • Convert to Annotation
    • Adobe Illustrator




Part B: Create a Citizen Damage Assessment

This link takes you to the assessment I created: https://arcg.is/0eTuvf 

This assessment could be distributed to the public after the storm had passed to report damage. 


Part C/D: Preparing Data/Creating Data

This section of the lab involved preparing data through the use of domains and then using this domain as new data was created. These domains helped easily classify the data as it was created. The domains classified levels of damage, inundation, wind damage, and structure type. 

Tools Used:

  • Create mosaic dataset
    • Add Rasters
  • Add Domains and Codes
  • Create a new feature class
    • Design fields
  • Create features




Part E: Examining Patterns

Data from the previous part was used to run a basic analysis. 

Analysis Steps: 

  1. Create feature class
    1. establish a poly line for coastline
  2. Multiple Ring Buffer
    1. create a 3 ring buffer with distances of 100m, 200m, and 300m
    2. input features: coastline feature class
  3. Adjust Symbology
    1. Unique values
    2. field: distance
    3. format color scheme:
      1. continuous scale from red to green
      2. adjust transparency of both colors to 70%
  4. Spatial Join
    1. target features: multiple ring buffer
    2. join features: structure damage
    3. select one to many
    4. intersect
  5. Select by attribute
  6. Record Data
    1. spreadsheet with formulas to calculate total and percentage
    2. create chart to visualize data
  7. Create Layout







I created the table and chart above to visualize the data created in the lab exercise. There seems to be a correlation between distance from the coast and the level of damage structures are likely to receive. The closer a structure is to the coast, the more likely it is to have high levels of damage. 

Results:

0-100 m: Structures in this category are most likely to be destroyed, and have little to no chance of receiving no damage or only being affected. There is one outlier in this data set and it is the one structure in this category that received minor damage while all others were destroyed. This category had the strongest relationship between distance and damage. 

100 -200 m: Structures in this category are most likely to receive major damage. Followed by an equal probability that it will either receive minor damage or be destroyed. 

200 - 300 m: Structures in this category are most likely to be affected, followed by a lesser chance of receiving minor damage or no damage at all. 


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