Subgroup: other

Class: QgsKernelDensityEstimation

class qgis.analysis.QgsKernelDensityEstimation(parameters: QgsKernelDensityEstimation.Parameters, outputFile: str, outputFormat: str)

Bases: sip.wrapper

Constructor for QgsKernelDensityEstimation. Requires a Parameters object specifying the options to use to generate the surface. The output path and file format are also required.

Performs Kernel Density Estimation (“heatmap”) calculations on a vector layer.

New in version 3.0: Methods

addFeature Adds a single feature to the KDE surface.
finalise Finalises the output file.
prepare Prepares the output file for writing and setups up the surface calculation.
run Runs the KDE calculation across the whole layer at once.

Signals

Attributes

DriverError
FileCreationError
InvalidParameters
KernelEpanechnikov
KernelQuartic
KernelTriangular
KernelTriweight
KernelUniform
OutputRaw
OutputScaled
RasterIoError
Success
DriverError = 1
FileCreationError = 3
InvalidParameters = 2
KernelEpanechnikov = 4
KernelQuartic = 0
class KernelShape

Bases: int

KernelTriangular = 1
KernelTriweight = 3
KernelUniform = 2
OutputRaw = 0
OutputScaled = 1
class OutputValues

Bases: int

class Parameters

Bases: sip.wrapper

QgsKernelDensityEstimation.Parameters(QgsKernelDensityEstimation.Parameters)

decayRatio
outputValues
pixelSize
radius
radiusField
shape
source
weightField
RasterIoError = 4
class Result

Bases: int

Success = 0
addFeature(self, feature: QgsFeature) → QgsKernelDensityEstimation.Result

Adds a single feature to the KDE surface. prepare() must be called before adding features.

See also

prepare()

See also

finalise()

finalise(self) → QgsKernelDensityEstimation.Result

Finalises the output file. Must be called after adding all features via addFeature().

See also

prepare()

See also

addFeature()

prepare(self) → QgsKernelDensityEstimation.Result

Prepares the output file for writing and setups up the surface calculation. This must be called before adding features via addFeature().

See also

addFeature()

See also

finalise()

run(self) → QgsKernelDensityEstimation.Result

Runs the KDE calculation across the whole layer at once. Either call this method, or manually call run(), addFeature() and finalise() separately.