Maps
Bivariate choropleth map
Shows two numeric variables per region with a combined colour classification.
- Map
- Geography
- Relationship
What it answers
Where do two regional measures coincide?
- Shape
- Regions using a two-variable palette
- What it shows
- High-high, low-low and mixed regions.
Example
The question
Where do high sales and high customer satisfaction coincide?
Sales growth and satisfaction by region (bivariate map)
Illustrative data. It belongs to no company.
When to use it
Use it when
Spatial overlap of two meaningfully classified measures.
Avoid it when
Too many classes or audiences without a clear bivariate key.
How to read it
Read the two-dimensional colour legend before comparing regions.
Note
Provide a two-dimensional legend and class boundaries.
The data you need
- Layout
- Attribute table plus geographic boundaries
- Fields
- RegionID: text; ValueA,ValueB: numbers; matching region boundaries
- One row is
- One region and its measured value. What is the grain?
- Rules
- Join both variables to the same regions. Define class thresholds for both variables and a two-dimensional legend.
- Optional
- Names alone may be ambiguous. Geometry can be GeoJSON, a spatial file or a tool-supported boundary lookup.
- Preparation
- Validate the input grain and missing values. Join both variables to the same regions. Define class thresholds for both variables and a two-dimensional legend.
- Units
- State the mapped attribute unit, geographic level and boundary/coordinate reference. Rates need an explicit population or area denominator.
Worked example
R1:(A30, B0.2), R2:(A45, B0.6). Under stated thresholds 35 and 0.4, R1 islow-low and R2 high-high.
| RegionID | ValueA | ValueB |
|---|---|---|
| R1 | 30 | 0.2 |
| R2 | 45 | 0.6 |
