24.2.7. Vector geoprocessing

24.2.7.1. Buffer vectors

Create buffers around the features of a vector layer.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: any]	The input vector layer
Geometry column name	GEOMETRY	[string] Default: ’geometry’	The name of the input layer geometry column to use
Buffer distance	DISTANCE	[number] Default: 10.0	Minimum: 0.0
Dissolve by attribute Optional	FIELD	[tablefield: any] Default: None	Field to use for dissolving
Dissolve results	DISSOLVE	[boolean] Default: False	If set, the result is dissolved. If no field is set for dissolving, all the buffers are dissolved into one feature.
Produce one feature for each geometry in any kind of geometry collection in the source file	EXPLODE_COLLECTIONS	[boolean] Default: False
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Buffer	OUTPUT	[vector: polygon] Default: [Save to temporary file]	Specify the output buffer layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Buffer	OUTPUT	[vector: polygon]	The output buffer layer

Python code

Algorithm ID: gdal:buffervectors

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.2. Clip vector by extent

Clips any OGR-supported vector file to a given extent.

This algorithm is derived from the GDAL ogr2ogr utility.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: any]	The input vector layer
Clip extent	EXTENT	[extent]	Defines the bounding box that should be used for the output vector file. It has to be defined in target CRS coordinates.
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Clipped (extent)	OUTPUT	[same as input] Default: [Save to temporary file]	Specify the output (clipped) layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Clipped (extent)	OUTPUT	[same as input]	The output (clipped) layer. The default format is ”ESRI Shapefile”.

Python code

Algorithm ID: gdal:clipvectorbyextent

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.3. Clip vector by mask layer

Clips any OGR-supported vector layer by a mask polygon layer.

This algorithm is derived from the GDAL ogr2ogr utility.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: any]	The input vector layer
Mask layer	MASK	[vector: polygon]	Layer to be used as clipping extent for the input vector layer.
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Clipped (mask)	OUTPUT	[same as input] Default: [Save to temporary file]	The output (masked) layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Clipped (mask)	OUTPUT	[same as input]	The output (masked) layer. The default format is ”ESRI Shapefile”.

Python code

Algorithm ID: gdal:clipvectorbypolygon

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.4. Dissolve

Dissolve (combine) geometries that have the same value for a given attribute / field. The output geometries are multipart.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: any]	The input layer to dissolve
Dissolve field Optional	FIELD	[tablefield: any]	The field of the input layer to use for dissolving
Geometry column name	GEOMETRY	[string] Default: ’geometry’	The name of the input layer geometry column to use for dissolving.
Produce one feature for each geometry in any kind of geometry collection in the source file	EXPLODE_COLLECTIONS	[boolean] Default: False	Produce one feature for each geometry in any kind of geometry collection in the source file
Keep input attributes	KEEP_ATTRIBUTES	[boolean] Default: False	Keep all attributes from the input layer
Count dissolved features	COUNT_FEATURES	[boolean] Default: False	Count the dissolved features and include it in the output layer.
Compute area and perimeter of dissolved features	COMPUTE_AREA	[boolean] Default: False	Compute the area and perimeter of dissolved features and include them in the output layer
Compute min/max/sum/mean for attribute	COMPUTE_STATISTICS	[boolean] Default: False	Calculate statistics (min, max, sum and mean) for the numeric attribute specified and include them in the output layer
Numeric attribute to calculate statistics on Optional	STATISTICS_ATTRIBUTE	[tablefield: numeric]	The numeric attribute to calculate statistics on
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Dissolved	OUTPUT	[same as input] Default: [Save to temporary file]	Specify the output layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Dissolved	OUTPUT	[same as input]	The output multipart geometry layer (with dissolved geometries)

Python code

Algorithm ID: gdal:dissolve

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.5. Offset curve

Offsets lines by a specified distance. Positive distances will offset lines to the left, and negative distances will offset them to the right.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: line]	The input line layer
Geometry column name	GEOMETRY	[string] Default: ’geometry’	The name of the input layer geometry column to use
Offset distance (left-sided: positive, right-sided: negative)	DISTANCE	[number] Default: 10.0
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Offset curve	OUTPUT	[vector: line] Default: [Save to temporary file]	Specify the output line layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Offset curve	OUTPUT	[vector: line]	The output offset curve layer

Python code

Algorithm ID: gdal:offsetcurve

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.6. One side buffer

Creates a buffer on one side (right or left) of the lines in a line vector layer.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: line]	The input line layer
Geometry column name	GEOMETRY	[string] Default: ’geometry’	The name of the input layer geometry column to use
Buffer distance	DISTANCE	[number] Default: 10.0
Buffer side	BUFFER_SIDE	[enumeration] Default: 0	One of: 0 — Right 1 — Left
Dissolve by attribute Optional	FIELD	[tablefield: any] Default: None	Field to use for dissolving
Dissolve all results	DISSOLVE	[boolean] Default: False	If set, the result is dissolved. If no field is set for dissolving, all the buffers are dissolved into one feature.
Produce one feature for each geometry in any kind of geometry collection in the source file	EXPLODE_COLLECTIONS	[boolean] Default: False
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
One-sided buffer	OUTPUT	[vector: polygon] Default: [Save to temporary file]	Specify the output buffer layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
One-sided buffer	OUTPUT	[vector: polygon]	The output buffer layer

Python code

Algorithm ID: gdal:onesidebuffer

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.2.7.7. Points along lines

Generates a point on each line of a line vector layer at a distance from start. The distance is provided as a fraction of the line length.

Parameters

Label	Nimi	Type	Kuvaus
Input layer	INPUT	[vector: line]	The input line layer
Geometry column name	GEOMETRY	[string] Default: ’geometry’	The name of the input layer geometry column to use
Distance from line start represented as a fraction of line length	DISTANCE	[number] Default: 0.5 (middle of the line)
Additional creation options Optional	OPTIONS	[string] Default: ’’ (no additional options)	Additional GDAL creation options.
Points along line	OUTPUT	[vector: point] Default: [Save to temporary file]	Specify the output point layer. One of: Save to a Temporary File Save to File… The file encoding can also be changed here.

Tulokset

Label	Nimi	Type	Kuvaus
Points along line	OUTPUT	[vector: point]	The output point layer

Python code

Algorithm ID: gdal:pointsalonglines

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.