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Maptitude for Redistricting Tech Corner
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| Field | Comments | Example |
| ID | The unique ID for each new area | The unique ID for each Block Piece |
| Area | The area for each new feature | The area for each Block Piece |
| AREA_1 | The ID for each area in Layer 1 | The ID for each Census Block |
| PERCENT_1 | The percent of each feature in Layer 1 that lies within the feature from Layer 2 | The percent of each Census Block that lies within the Precinct listed in AREA_2 |
| AREA_2 | The ID for each area in Layer 2 | The ID for each Precinct |
| PERCENT_2 | The percent of each feature in Layer 2 that lies within the feature from Layer 2 | The percent of each Precinct that lies within the Census Block listed in AREA_1 |
The next step is to append voting age population. Appending voting age population to the new block pieces file requires disaggregating the block data to the block pieces. You should:
- Choose Dataview-Modify Table and add a new 4-byte
integer field for either the Census Block Voting Age Population field
(named 18+_Pop) – you could also use Population, and click OK to
close the Modify Table dialog box. Maptitude for Redistricting adds the
new field to the Block Pieces table.
- Ensure that both the Block Pieces layer is open and the Census Block
layer is open.
- Select Join from the Dataview menu.
- Click on the Options tab of the Join dialog box and check
Allow all types of joins.
- Click on the Settings tab of the Join dialog box and select
the following values:
Joining From Table: Block Pieces
Field: Area_1
To Table: Census Block
Field: ID - The joined view will open.
- Click the heading for the first column that is to contain the
disaggregated data (e.g., 18+_Pop), choose Edit-Fill,
click the Formula radio button, create the formula:
[Census Block].18+_Pop * PERCENT_1 + .5
- Repeat for all fields you want to disaggregate.
- Drop the join by using Dataview-Drop Join and selecting the joined view.
Disaggregate Precinct Data
Now that the Block Pieces layer contains the census block population, you can disaggregate the Precinct data to the Block Pieces. To disaggregate the Precinct data, you should make Block Pieces the Working Layer and:
- Choose Dataview-Modify Table and add a new 4-byte
integer field for each Precinct field that you want to disaggregate
(e.g., Registered Democrats, Registered Republicans, and all election
results), and click OK to close the Modify Table dialog box.
Maptitude for Redistricting adds the new fields to the Block Pieces
table.
- Choose Dataview-Join and select the following value:
Joining From Table: Block Pieces
Field: AREA_2
To Table: Precincts
Field: ID - Maptitude for Redistricting creates a many to one join (many block
pieces for one Precinct).
- Click the heading for the first column that is to contain the
disaggregated data (e.g., Registered Democrats), choose Edit-Fill,
click the Formula radio button, create the formula:
Precinct.[Registered Democrats] * Block Pieces.18+_Pop / Precinct.18+_Pop + .5
- Click OK. Maptitude for Redistricting fills the field with the formula. When you are done disaggregating, closed the joined view.
Recreate the Census Block Layer
The final step of this procedure is to append the disaggregated precinct data from the Block Pieces layer to the Census Block layer. To do this, you should go to Dataview-Join and select the following value:
Joining From Table: Census Block
Field: ID
To Table: Block Pieces
Field: Area_1
The join will aggregate the disaggregated precinct data [by census block piece] to the census blocks. To make the join permanent, choose Redistricting-Plan Utilities-Copy Joined Fields.
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