Question: Rename the Assignment9-3 folder Assignment9-3YourName. Open Assignment9-3.aprx. Following are definitions of attributes that you'll use from the Tornados2021 feature class. The feature class has initial
Rename the Assignment9-3 folder Assignment9-3YourName. Open Assignment9-3.aprx. Following are definitions of attributes that you'll use from the Tornados2021 feature class. The feature class has initial points where tornados touched down. Some tornados touched down more than once. Mag = wind speed indicator, Fujita Tornado Damage Scale (F_Scale, range 0 to 4): o 0 = light damage (73 MPH winds, shallow trees blown over) o 1 = moderate damage (73-112 MPH, mobile homes pushed off foundations) o 2 = considerable damage (113-157 MPH, mobile homes demolished) o 3 = severe damage (158-206 MPH, most trees in forest uprooted) o 4 = devastating damage (207-260 MPH, well-constructed houses leveled) 1 o 5 = incredible damage (261-318 MPH, automobiles fly through the air for over 100 meters, trees debarked) Loss = property damage in dollars (range 0 to $150,000,000) Inj = number of injuries (range 0 to 515) Fat = number of fatalities (range 0 to 57) The differences in magnitudes of the above variables are very large, so you'll use the standardized versions of each variable: S_F_Scale, S_Loss, S_Injuries, and S_Fatalities, which are available in the Tornados2021 feature class. (The Standardize table in the project for this assignment has the means and standard deviations of each original variable used to calculate standardized values.) Each standardized variable is equally weighted in the k-means cluster analysis you are about to run. Run k-means clustering Use the Multivariate Clustering tool on Tornados21 as follows: o Use S_F_Scale, S_Loss, S_Injuries, and S_Fatalities as inputs for five clusters. o Use seeds from the Seed field, which has five rows with Seed = 1 from a previous run of the clustering tool. Interpret and symbolize grouping results Using summary statistics, in the new feature class, create a table called ClusterMeans that calculates the mean of the four input clustering attributes grouped by Cluster ID (case field). Use the resulting plot box to study the groups and create meaningful labels for each of the groups (Highest Impact, High Impact, Medium Impact, Low Impact 1, Low Impact 2). Symbolize the clusters: o Two of the clusters have low impact, with injuries, fatalities, and losses below means. o Reduce the size of those clusters' points on the map to 2 pt and give them background color fill. o Change colors to show impact. 2 Present results Based on the number of tornedos and grouping analysis results, select six states that you think made up the new Tornado Alley in 2021. Make a layout with your map and legend and export it to your assignment folder as Assignment9-2YourName.jpg. Create a short report in Microsoft Word named Assignment9-3YourName.docx, and include your table of means and labels as table 1 and the layout as figure 1. Discuss your map in terms of tornado clusters and the historical Tornado Alley.
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