How Thin Road Network works

About Thin Road Network

The Thin Road Network tool compiles a simplified collection of roads by identifying segments that can be removed from the display without affecting the general character, density, and overall connectivity of the roads. Features that do not participate in the resulting road collection are identified by an attribute on the input layers that can be used in a definition query or in a selection to create a new layer.

Features are not actually deleted by Thin Road Network. To actually remove features, consider using the Trim Line tool.

The degree of road collection thinning is controlled by the Minimum Length parameter. The morphology and character of the road network should be considered. Typically, regular road patterns that include gridded areas, like those common in North American cities, require a larger minimum length than more organically shaped road collections.

Use the following table as a guideline for values in map units to use with this parameter with different output scales. Refine these values as necessary to achieve desired results.

Organic, nongridded road patterns

Regular, gridded road patterns

Final scale

Map units

Page units

Map units

Page units

1:25,000

250 m

825 ft.

1 cm

500 m

1,650 ft.

2 cm

1:50,000

500 m

1,650 ft.

1 cm

1,000 m

3,300 ft.

2 cm

1:100,000

1,000 m

3,300 ft.

1 cm

2,000 m

6,600 ft.

2 cm

1:250,000

2,500 m

8,250 ft.

1 cm

5,000 m

16,500 ft.

2 cm

1:500,000

5,000 m

16,500 ft.

1 cm

10,000 m

33,000 ft.

2 cm

Data preparation considerations

Multiple road layers can be assessed simultaneously to ensure that all classes of roads are considered in the final display. This tool is optimized for the spatial relationships typically found in a road network. Unexpected results may be produced if the tool is used to process other themes. It is very important that the geometry of the input features is correctly established for the tool to maintain the relationship of the features as they coexist in a road collection. Take note of the following input data requirements and suggestions:

Workflow considerations

This tool is generally most effective when used in conjunction with other generalization and graphic conflict resolution tools. Here are some tips to help you use these tools together with other layers and other tools in a workflow:

Related Topics


11/11/2011