Data Apportionment settings

You can alter the way data is apportioned in Business Analyst Server. Changing different options can affect data aggregation speed, report calculations, and spatial overlays.

To configure the data apportionment methods, follow these steps:

Steps:

1. Start a session in ArcCatalog and follow the steps in Access properties of a map service using ArcCatalog.
2. In the Service Editor dialog box, click Business Analyst.
3. Under Properties, select the Democalc tab. If you are an advanced user, you can modify these parameters; otherwise, it is recommended that you keep the default settings.
4. Select the dataset from the Active dataset drop-down list. The default active dataset will generally be the most recent shipment of data. For example, the current year U.S. dataset from Esri is USA_ESRI_YYYY where YYYY is the 4 digit year of the data.
5. Select the feature selection method from the Selection method drop-down list. Hybrid is recommended for a combination of speed and accuracy.
6. Select the demographic data calculation method from the Democalc settings drop-down list. The default setting is generally the most recent shipment of data. For example, the current year U.S. dataset from Esri is ba_YYYY where YYYY is the 4 digit year of the data.
7. Double-click within Democalc parameters to modify your threshold settings, data layers, or apportionment methods. You can also add new parameters. It is recommended that you leave the default values unless you understand how the parameters can change Business Analyst Server analyses.
8. When your modified settings are complete, confirm that the threshold count variable is accurate.
9. Click OK.

To configure ArcGIS Server Manager

1. Open ArcGIS Server Manager and login.
2. Click to select the Business Analyst Map Service.
3. Select Capabilities from the menu.
4. Select the Business Analyst from the list of map service capabilites.
5. Click the Democalc tab.
6. Select the dataset from the Active dataset drop-down list. The default active dataset will generally be the most recent shipment of data. For example, the current year U.S. dataset from Esri is USA_ESRI_YYYY where YYYY is the 4 digit year of the data.