Network Cleanup

A collection of tools to aid fixing the topology of a network.

1 - Disjoint Check

Selects all lines connected to a line, repeats the process until no new lines are being selected.

1.1 Parameters

Label	Name	Type	Description
Input layer	INPUT	[vector: line]	Line layer user wishes to run disjoint check on
Disjoint Check Selected Feature?	CHECK_SELECTED	[boolean] Default: False	When checked, disjoint check will be run on currently selected lines on layer. When unchecked, disjoint check will be run on a random line

1.2 Python Code

import processing

processing.run("algorithm_id", {parameters_dictionary})

2 - Recursive Selection

Similar to Disjoint Check, however takes into account directionality. Will terminate when no more lines end at the start of any currently selected lines.

2.1 Parameters

Label	Name	Type	Description
Input layer	INPUT	[vector: line]	Line layer user wishes to run recursive selection on

2.2 Python Code

import processing

processing.run("algorithm_id", {parameters_dictionary})

3 - Loop Check

Dissolves all lines marked loop (any non-null values in a specified column) and splits them with those same lines. Users can select the loops and easily identify any topological errors.

3.1 Parameters

Label	Name	Type	Description
Input layer	INPUT	[vector: line]	Line layer user wishes to run loop check on
Loop Field	ID_FIELD	[tablefield: any] Default: Not set	field containing whether a layer is part of a loop (requires user to manually check identify all loops in line layer - all layers containing loops should have a non-NULL value in this column)

3.2 Outputs

Label	Name	Type	Description
Loops	OUTPUT	[vector: line]	Returns a layer split with lines - all loops should be broken at intersection points only - any that are not are discontinuities that need to be rectified in the geometry

3.3 Python Code

import processing

processing.run("algorithm_id", {parameters_dictionary})

4 - Merge Selected Features Layers

Merges selected features from multiple layers into one layer.