Once you’ve loaded your Broadband Fabric Location Data into QGIS, the next step is turning a “cloud of points” into data you can interpret. With a few symbology changes, you can reveal dense and sparse areas, see where points land, and spot patterns by land use, ZIP or postal code, or other attributes—all without advanced analysis.
This guide shows you an easy way to start visualizing Location Fabric points in QGIS.
This guide is for beginners and does not include every possible way to visualize the Location Fabric in QGIS.
What This Guide Covers
In this tutorial, you’ll learn how to:
- Quickly reveal dense vs. less dense areas by resizing your points
- Confirm where Fabric points land by zooming in for close inspection
- Symbolize (color) points using attribute fields to reveal patterns
- Use categorized symbology for fields like land use or postal/ZIP code
- Use color ramps to keep category colors consistent and readable
- (Optional) Use graduated symbology for numeric fields (integer/float)
You can do all these steps from the Layer Properties and Symbology panel in QGIS.
Step 1: Make Dense Areas Obvious by Changing Point Size
When loaded, all points look alike and may appear too small to show density.
To modify the point size within QGIS:
- Right-click on your Fabric layer in the Layers panel
- Click Properties
- Go to Symbology
- Find the Size setting and increase or decrease to the desired point size
- Click Apply, then OK
Making points larger reveals denser center areas and where edges are less dense quickly.
Step 2: Zoom In to Confirm Point Placement
After adjusting the point size, zoom in on a few points to check that the locations are landing where you expect them to.
This step lets you double-check that your points actually line up with real locations on the map and that nothing looks off due to projection or alignment issues.
Step 3: Use Attribute-Based Styles to Spot Patterns
Even after making the points bigger, it can be difficult to identify patterns if every point looks the same.
After resizing, you can color points by attribute to start highlighting differences and trends in the data—such as land use, postal code, or any other data column in your Location Fabric layer.
To symbolize by attribute:
- Right-click your Fabric layer and open Properties.
- Go to the Symbology section.
- In the symbology options, pick one of these styles:
- Categorized
- Graduated
- Rule-based
- For most quick maps, start with Categorized—it’s the simplest way to get a sense of your data.
Step 4: Categorize by Land Use (Example Workflow)
A common first map is a land-use map, which shows where residential, business, and other areas cluster.
- In Symbology, choose Categorized
- Select the Land Use attribute field (or your equivalent land-use column)
- Click Classify to generate categories and symbols
- Click Apply → OK
Once you classify the points, each land-use category will have its own color. Assigning distinct colors to different categories allows you to visually differentiate between land uses, helping identify spatial patterns, such as the distribution and clustering of residential, commercial, and other areas within your region.
Step 5: Modify Colors (Manually or with a Color Ramp)
Once you’ve set up your categories, you can give your map a cleaner look and adjust the point colors:
- To change a single category’s color, double-click its symbol and choose a new color in the symbol selector.
- If you want a cohesive palette instead of random colors, choose a color ramp. For example, set all categories to shades of green or use a ramp like Turbo.
- Then click Classify again to reapply colors consistently.
This is especially useful if you plan to include screenshots in a report or presentation.
A cohesive color scheme helps your map look neater and is especially helpful if you’re planning to use screenshots in a report or presentation.
Step 6: Categorize by ZIP / Postal Code for Targeting and Coverage Views
If you are doing outreach, planning, or market research, coloring points by postal or ZIP code helps you quickly see which codes are in your area and where they are grouped.
The process is the same:
- Symbology → Categorized
- Choose the Postal Code field
- Click Classify → Apply
Optional: Use Graduated Symbology for Numeric Fields
If you have an integer or float field, you can use Graduated symbology to shade points by ranges instead of categories. This is useful for scores, counts, or other continuous values.
Quick Recap: Visualizing Fabric Points in QGIS
- Load your Fabric points
- Increase point size to reveal density patterns
- Use Symbology → Categorized to color by a key attribute (land use, ZIP, etc.)
- Adjust colors or apply a color ramp for readability
- Use graduated symbology when you’re working with numeric fields