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[processing] port heatmap algorithm

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alexbruy committed Jul 13, 2017
1 parent fc7ac83 commit 229d2f1addfe8122601c57fa3ca2843a543c339a
@@ -26,24 +26,24 @@
__revision__ = '$Format:%H$'

import os
from collections import OrderedDict

from qgis.PyQt.QtGui import QIcon

from qgis.core import (QgsFeatureRequest,
QgsMessageLog,
QgsProcessing,
QgsProcessingException,
QgsProcessingUtils,
QgsProcessingParameterVectorLayer,
QgsProcessingParameterNumber,
QgsProcessingParameterField,
QgsProcessingParameterEnum,
QgsProcessingParameterDefinition)

from qgis.analysis import QgsKernelDensityEstimation

from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
from processing.core.parameters import ParameterVector
from processing.core.parameters import ParameterNumber
from processing.core.parameters import ParameterSelection
from processing.core.parameters import ParameterTableField
from processing.core.outputs import OutputRaster
from processing.tools import dataobjects, raster
from processing.algs.qgis.ui.HeatmapWidgets import HeatmapPixelSizeWidgetWrapper
from processing.tools import raster

pluginPath = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0]

@@ -55,18 +55,8 @@ class Heatmap(QgisAlgorithm):
RADIUS_FIELD = 'RADIUS_FIELD'
WEIGHT_FIELD = 'WEIGHT_FIELD'
PIXEL_SIZE = 'PIXEL_SIZE'

KERNELS = ['Quartic',
'Triangular',
'Uniform',
'Triweight',
'Epanechnikov'
]
KERNEL = 'KERNEL'
DECAY = 'DECAY'
OUTPUT_VALUES = ['Raw',
'Scaled'
]
OUTPUT_VALUE = 'OUTPUT_VALUE'
OUTPUT_LAYER = 'OUTPUT_LAYER'

@@ -79,74 +69,113 @@ def tags(self):
def group(self):
return self.tr('Interpolation')

def name(self):
return 'heatmapkerneldensityestimation'

def displayName(self):
return self.tr('Heatmap (Kernel Density Estimation)')

def __init__(self):
super().__init__()

def initAlgorithm(self, config=None):
self.addParameter(ParameterVector(self.INPUT_LAYER,
self.tr('Point layer'), [dataobjects.TYPE_VECTOR_POINT]))
self.addParameter(ParameterNumber(self.RADIUS,
self.tr('Radius (layer units)'),
0.0, 9999999999, 100.0))

radius_field_param = ParameterTableField(self.RADIUS_FIELD,
self.tr('Radius from field'), self.INPUT_LAYER, optional=True, datatype=ParameterTableField.DATA_TYPE_NUMBER)
self.KERNELS = OrderedDict([(self.tr('Quartic'), QgsKernelDensityEstimation.KernelQuartic),
(self.tr('Triangular'), QgsKernelDensityEstimation.KernelTriangular),
(self.tr('Uniform'), QgsKernelDensityEstimation.KernelUniform),
(self.tr('Triweight'), QgsKernelDensityEstimation.KernelTriweight),
(self.tr('Epanechnikov'), QgsKernelDensityEstimation.KernelEpanechnikov)])

self.OUTPUT_VALUES = OrderedDict([(self.tr('Raw'), QgsKernelDensityEstimation.OutputRaw),
(self.tr('Scaled'), QgsKernelDensityEstimation.OutputScaled)])

self.addParameter(QgsProcessingParameterVectorLayer(self.INPUT_LAYER,
self.tr('Point layer'),
[QgsProcessing.TypeVectorPoint]))

self.addParameter(QgsProcessingParameterNumber(self.RADIUS,
self.tr('Radius (layer units)'),
QgsProcessingParameterNumber.Double,
100.0, False, 0.0, 9999999999.99))

radius_field_param = QgsProcessingParameterField(self.RADIUS_FIELD,
self.tr('Radius from field'),
None,
self.INPUT_LAYER,
QgsProcessingParameterField.Numeric,
optional=True
)
radius_field_param.setFlags(radius_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(radius_field_param)

class ParameterHeatmapPixelSize(ParameterNumber):
class ParameterHeatmapPixelSize(QgsProcessingParameterNumber):

def __init__(self, name='', description='', parent_layer=None, radius_param=None, radius_field_param=None, minValue=None, maxValue=None,
default=None, optional=False, metadata={}):
ParameterNumber.__init__(self, name, description, minValue, maxValue, default, optional, metadata)
default=None, optional=False):
QgsProcessingParameterNumber.__init__(self, name, description, QgsProcessingParameterNumber.Double, default, optional, minValue, maxValue)
self.parent_layer = parent_layer
self.radius_param = radius_param
self.radius_field_param = radius_field_param

self.addParameter(ParameterHeatmapPixelSize(self.PIXEL_SIZE,
self.tr('Output raster size'), parent_layer=self.INPUT_LAYER, radius_param=self.RADIUS,
radius_field_param=self.RADIUS_FIELD,
minValue=0.0, maxValue=9999999999, default=0.1,
metadata={'widget_wrapper': HeatmapPixelSizeWidgetWrapper}))

weight_field_param = ParameterTableField(self.WEIGHT_FIELD,
self.tr('Weight from field'), self.INPUT_LAYER, optional=True, datatype=ParameterTableField.DATA_TYPE_NUMBER)
pixel_size_param = ParameterHeatmapPixelSize(self.PIXEL_SIZE,
self.tr('Output raster size'),
parent_layer=self.INPUT_LAYER,
radius_param=self.RADIUS,
radius_field_param=self.RADIUS_FIELD,
minValue=0.0,
maxValue=9999999999,
default=0.1)
pixel_size_param.setMetadata({
'widget_wrapper': {
'class': 'processing.algs.qgis.ui.HeatmapWidgets.HeatmapPixelSizeWidgetWrapper'}})
self.addParameter(pixel_size_param)

weight_field_param = QgsProcessingParameterField(self.WEIGHT_FIELD,
self.tr('Weight from field'),
None,
self.INPUT_LAYER,
QgsProcessingParameterField.Numeric,
optional=True
)
weight_field_param.setFlags(weight_field_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(weight_field_param)
kernel_shape_param = ParameterSelection(self.KERNEL,
self.tr('Kernel shape'), self.KERNELS)

keys = list(self.KERNELS.keys())
kernel_shape_param = QgsProcessingParameterEnum(self.KERNEL,
self.tr('Kernel shape'),
keys,
allowMultiple=False,
defaultValue=0)
kernel_shape_param.setFlags(kernel_shape_param.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(kernel_shape_param)
decay_ratio = ParameterNumber(self.DECAY,
self.tr('Decay ratio (Triangular kernels only)'),
-100.0, 100.0, 0.0)

decay_ratio = QgsProcessingParameterNumber(self.DECAY,
self.tr('Decay ratio (Triangular kernels only)'),
QgsProcessingParameterNumber.Double,
0.0, True, -100.0, 100.0)
decay_ratio.setFlags(decay_ratio.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(decay_ratio)
output_scaling = ParameterSelection(self.OUTPUT_VALUE,
self.tr('Output value scaling'), self.OUTPUT_VALUES)

keys = list(self.OUTPUT_VALUES.keys())
output_scaling = QgsProcessingParameterEnum(self.OUTPUT_VALUE,
self.tr('Output value scaling'),
keys,
allowMultiple=False,
defaultValue=0)
output_scaling.setFlags(output_scaling.flags() | QgsProcessingParameterDefinition.FlagAdvanced)
self.addParameter(output_scaling)
self.addOutput(OutputRaster(self.OUTPUT_LAYER,
self.tr('Heatmap')))

def name(self):
return 'heatmapkerneldensityestimation'

def displayName(self):
return self.tr('Heatmap (Kernel Density Estimation)')

def processAlgorithm(self, parameters, context, feedback):
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT_LAYER), context)

radius = self.getParameterValue(self.RADIUS)
kernel_shape = self.getParameterValue(self.KERNEL)
pixel_size = self.getParameterValue(self.PIXEL_SIZE)
decay = self.getParameterValue(self.DECAY)
output_values = self.getParameterValue(self.OUTPUT_VALUE)
output = self.getOutputValue(self.OUTPUT_LAYER)
layer = self.parameterAsVectorLayer(parameters, self.INPUT_LAYER, context)

radius = self.parameterAsDouble(parameters, self.RADIUS, context)
kernel_shape = self.parameterAsEnum(parameters, self.KERNEL, context)
pixel_size = self.parameterAsDouble(parameters, self.PIXEL_SIZE, context)
decay = self.parameterAsDouble(parameters, self.DECAY, context)
output_values = self.parameterAsEnum(parameters, self.OUTPUT_VALUE, context)
output = self.parameterAsOutputLayer(parameters, self.OUTPUT_LAYER, context)
output_format = raster.formatShortNameFromFileName(output)
weight_field = self.getParameterValue(self.WEIGHT_FIELD)
radius_field = self.getParameterValue(self.RADIUS_FIELD)
weight_field = self.parameterAsString(parameters, self.WEIGHT_FIELD, context)
radius_field = self.parameterAsString(parameters, self.RADIUS_FIELD, context)

attrs = []

@@ -170,19 +199,24 @@ def processAlgorithm(self, parameters, context, feedback):
kde = QgsKernelDensityEstimation(kde_params, output, output_format)

if kde.prepare() != QgsKernelDensityEstimation.Success:
raise GeoAlgorithmExecutionException(
raise QgsProcessingException(
self.tr('Could not create destination layer'))

request = QgsFeatureRequest()
request.setSubsetOfAttributes(attrs)
features = QgsProcessingUtils.getFeatures(layer, context, request)
total = 100.0 / layer.featureCount() if layer.featureCount() else 0
for current, f in enumerate(features):
if feedback.isCanceled():
break

if kde.addFeature(f) != QgsKernelDensityEstimation.Success:
QgsMessageLog.logMessage(self.tr('Error adding feature with ID {} to heatmap').format(f.id()), self.tr('Processing'), QgsMessageLog.CRITICAL)
feedback.reportError(self.tr('Error adding feature with ID {} to heatmap').format(f.id()), self.tr('Processing'), QgsMessageLog.CRITICAL)

feedback.setProgress(int(current * total))

if kde.finalise() != QgsKernelDensityEstimation.Success:
raise GeoAlgorithmExecutionException(
raise QgsProcessingException(
self.tr('Could not save destination layer'))

return {self.OUTPUT_LAYER: output}
@@ -59,6 +59,7 @@
from .ExtentFromLayer import ExtentFromLayer
from .FixGeometry import FixGeometry
from .GridPolygon import GridPolygon
from .Heatmap import Heatmap
from .ImportIntoPostGIS import ImportIntoPostGIS
from .ImportIntoSpatialite import ImportIntoSpatialite
from .Intersection import Intersection
@@ -159,7 +160,6 @@
# from .GeometryByExpression import GeometryByExpression
# from .PoleOfInaccessibility import PoleOfInaccessibility
# from .RasterCalculator import RasterCalculator
# from .Heatmap import Heatmap
# from .Orthogonalize import Orthogonalize
# from .ShortestPathPointToPoint import ShortestPathPointToPoint
# from .ShortestPathPointToLayer import ShortestPathPointToLayer
@@ -277,7 +277,8 @@ def getAlgs(self):
Union(),
VectorSplit(),
VoronoiPolygons(),
ZonalStatistics()
ZonalStatistics(),
Heatmap()
]

if hasPlotly:

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