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The Scenario View is where you will find a list of all the data for the scenario or scenarios that you are currently working with. Each scenario that you are working with is listed as a top-level item in this view, which can be expanded by clicking the plus (+) (plus) icon next to its name, to see the details of the scenario. Inside each scenario, you can see a list of the Mappable Data and Scenario Data. All data listed in Mappable Data are the layers of data that appear in your rendered map whereas all the data listed in the Scenario Data includes all non-renderable data for the scenario (e.g. tables).

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  • Now that we have the economic losses for the buildings, we can determine the fiscal impact of the economic loss. To do this, click the Execute Analysis button ( ) again and select the Fiscal Impact Analysis under the Socioeconomic category and click Finish. The new window shows the parameters for computing the fiscal impact (see figure below). The tax rate field is the default property tax rate to use for the region if no property tax map is provided. One optional field is to use a tax map; however, if one is available it will first need to be added to MAEviz by ingesting it. For this tutorial, we will ignore this field. Another optional field, Select Minimum DED, allows you to enter the minimum economic loss criteria used to select the buildings for inclusion in the property tax loss calculation. For example, entering 10.0 will only calculate the property tax loss for buildings that lost more than 10% of their value from direct economic damage. Those with less will be given the value 0 for property tax loss. Entering 0 for the field will include all buildings in the calculation, regardless of the amount of building value loss. For this analysis, we will include all buildings, which is the default operation. Click finish to generate the fiscal impact.

Decision Support

In this section we are going to illustrate how to run the Building Decision Support analyses in MAEviz. The analyses include the Building Decision Support Attributes Analysis, the Equivalent Cost Analysis, the Multi-Attribute Utility Analysis and the Individual Utility Analysis. The Building Decision Support analysis computes the decision attributes such as monetary loss, injuries, deaths and function loss that can be used by the Equivalent Cost Analysis to turn the non monetary attributes into monetary attributes for making decisions. Alternatively, these attributes can be given to the Multi-Attribute Utility Analysis to compute the overall utility of the results. The Individual Utility Analysis provides the change in utility for retrofitting a single structure while leaving all other structures unchanged. This is useful for determining which building(s) give the best return for your investment.

Analyzing Results

Now that the analyses that we were interested in have been completed, it's time to analyze and try to make sense of the results. There are various ways of viewing and visualizing the results, which we will learn now.

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