mirror of
https://github.com/qgis/QGIS.git
synced 2025-03-07 00:02:15 -05:00
1e13d733c2
initAlgorithm() method This allows 2 benefits: - algorithms can be subclassed and have subclasses add additional parameters/outputs to the algorithm. With the previous approach of declaring parameters/outputs in the constructor, it's not possible to call virtual methods to add additional parameters/ outputs (since you can't call virtual methods from a constructor). - initAlgorithm takes a variant map argument, allowing the algorithm to dynamically adjust its declared parameters and outputs according to this configuration map. This potentially allows model algorithms which can be configured to have variable numbers of parameters and outputs at run time. E.g. a "router" algorithm which directs features to one of any number of output sinks depending on some user configured criteria.
227 lines
8.4 KiB
Python
227 lines
8.4 KiB
Python
# -*- coding: utf-8 -*-
|
|
|
|
"""
|
|
***************************************************************************
|
|
HypsometricCurves.py
|
|
---------------------
|
|
Date : November 2014
|
|
Copyright : (C) 2014 by Alexander Bruy
|
|
Email : alexander dot bruy at gmail dot com
|
|
***************************************************************************
|
|
* *
|
|
* This program is free software; you can redistribute it and/or modify *
|
|
* it under the terms of the GNU General Public License as published by *
|
|
* the Free Software Foundation; either version 2 of the License, or *
|
|
* (at your option) any later version. *
|
|
* *
|
|
***************************************************************************
|
|
"""
|
|
from builtins import str
|
|
|
|
__author__ = 'Alexander Bruy'
|
|
__date__ = 'November 2014'
|
|
__copyright__ = '(C) 2014, Alexander Bruy'
|
|
|
|
# This will get replaced with a git SHA1 when you do a git archive
|
|
|
|
__revision__ = '$Format:%H$'
|
|
|
|
import os
|
|
|
|
import numpy
|
|
from osgeo import gdal, ogr, osr
|
|
|
|
from qgis.core import (QgsRectangle,
|
|
QgsFeatureSink,
|
|
QgsGeometry,
|
|
QgsApplication,
|
|
QgsProcessingUtils)
|
|
|
|
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
|
|
from processing.core.parameters import ParameterRaster
|
|
from processing.core.parameters import ParameterVector
|
|
from processing.core.parameters import ParameterNumber
|
|
from processing.core.parameters import ParameterBoolean
|
|
from processing.core.outputs import OutputDirectory
|
|
|
|
from processing.tools import raster, vector, dataobjects
|
|
|
|
|
|
class HypsometricCurves(QgisAlgorithm):
|
|
|
|
INPUT_DEM = 'INPUT_DEM'
|
|
BOUNDARY_LAYER = 'BOUNDARY_LAYER'
|
|
STEP = 'STEP'
|
|
USE_PERCENTAGE = 'USE_PERCENTAGE'
|
|
OUTPUT_DIRECTORY = 'OUTPUT_DIRECTORY'
|
|
|
|
def group(self):
|
|
return self.tr('Raster tools')
|
|
|
|
def __init__(self):
|
|
super().__init__()
|
|
|
|
def initAlgorithm(self, config=None):
|
|
self.addParameter(ParameterRaster(self.INPUT_DEM,
|
|
self.tr('DEM to analyze')))
|
|
self.addParameter(ParameterVector(self.BOUNDARY_LAYER,
|
|
self.tr('Boundary layer'), dataobjects.TYPE_VECTOR_POLYGON))
|
|
self.addParameter(ParameterNumber(self.STEP,
|
|
self.tr('Step'), 0.0, 999999999.999999, 100.0))
|
|
self.addParameter(ParameterBoolean(self.USE_PERCENTAGE,
|
|
self.tr('Use % of area instead of absolute value'), False))
|
|
|
|
self.addOutput(OutputDirectory(self.OUTPUT_DIRECTORY,
|
|
self.tr('Hypsometric curves')))
|
|
|
|
def name(self):
|
|
return 'hypsometriccurves'
|
|
|
|
def displayName(self):
|
|
return self.tr('Hypsometric curves')
|
|
|
|
def processAlgorithm(self, parameters, context, feedback):
|
|
rasterPath = self.getParameterValue(self.INPUT_DEM)
|
|
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.BOUNDARY_LAYER), context)
|
|
step = self.getParameterValue(self.STEP)
|
|
percentage = self.getParameterValue(self.USE_PERCENTAGE)
|
|
|
|
outputPath = self.getOutputValue(self.OUTPUT_DIRECTORY)
|
|
|
|
rasterDS = gdal.Open(rasterPath, gdal.GA_ReadOnly)
|
|
geoTransform = rasterDS.GetGeoTransform()
|
|
rasterBand = rasterDS.GetRasterBand(1)
|
|
noData = rasterBand.GetNoDataValue()
|
|
|
|
cellXSize = abs(geoTransform[1])
|
|
cellYSize = abs(geoTransform[5])
|
|
rasterXSize = rasterDS.RasterXSize
|
|
rasterYSize = rasterDS.RasterYSize
|
|
|
|
rasterBBox = QgsRectangle(geoTransform[0],
|
|
geoTransform[3] - cellYSize * rasterYSize,
|
|
geoTransform[0] + cellXSize * rasterXSize,
|
|
geoTransform[3])
|
|
rasterGeom = QgsGeometry.fromRect(rasterBBox)
|
|
|
|
crs = osr.SpatialReference()
|
|
crs.ImportFromProj4(str(layer.crs().toProj4()))
|
|
|
|
memVectorDriver = ogr.GetDriverByName('Memory')
|
|
memRasterDriver = gdal.GetDriverByName('MEM')
|
|
|
|
features = QgsProcessingUtils.getFeatures(layer, context)
|
|
total = 100.0 / layer.featureCount() if layer.featureCount() else 0
|
|
|
|
for current, f in enumerate(features):
|
|
geom = f.geometry()
|
|
intersectedGeom = rasterGeom.intersection(geom)
|
|
|
|
if intersectedGeom.isEmpty():
|
|
feedback.pushInfo(
|
|
self.tr('Feature {0} does not intersect raster or '
|
|
'entirely located in NODATA area').format(f.id()))
|
|
continue
|
|
|
|
fName = os.path.join(
|
|
outputPath, 'hystogram_%s_%s.csv' % (layer.name(), f.id()))
|
|
|
|
ogrGeom = ogr.CreateGeometryFromWkt(intersectedGeom.exportToWkt())
|
|
bbox = intersectedGeom.boundingBox()
|
|
xMin = bbox.xMinimum()
|
|
xMax = bbox.xMaximum()
|
|
yMin = bbox.yMinimum()
|
|
yMax = bbox.yMaximum()
|
|
|
|
(startColumn, startRow) = raster.mapToPixel(xMin, yMax, geoTransform)
|
|
(endColumn, endRow) = raster.mapToPixel(xMax, yMin, geoTransform)
|
|
|
|
width = endColumn - startColumn
|
|
height = endRow - startRow
|
|
|
|
srcOffset = (startColumn, startRow, width, height)
|
|
srcArray = rasterBand.ReadAsArray(*srcOffset)
|
|
|
|
if srcOffset[2] == 0 or srcOffset[3] == 0:
|
|
feedback.pushInfo(
|
|
self.tr('Feature {0} is smaller than raster '
|
|
'cell size').format(f.id()))
|
|
continue
|
|
|
|
newGeoTransform = (
|
|
geoTransform[0] + srcOffset[0] * geoTransform[1],
|
|
geoTransform[1],
|
|
0.0,
|
|
geoTransform[3] + srcOffset[1] * geoTransform[5],
|
|
0.0,
|
|
geoTransform[5]
|
|
)
|
|
|
|
memVDS = memVectorDriver.CreateDataSource('out')
|
|
memLayer = memVDS.CreateLayer('poly', crs, ogr.wkbPolygon)
|
|
|
|
ft = ogr.Feature(memLayer.GetLayerDefn())
|
|
ft.SetGeometry(ogrGeom)
|
|
memLayer.CreateFeature(ft)
|
|
ft.Destroy()
|
|
|
|
rasterizedDS = memRasterDriver.Create('', srcOffset[2],
|
|
srcOffset[3], 1, gdal.GDT_Byte)
|
|
rasterizedDS.SetGeoTransform(newGeoTransform)
|
|
gdal.RasterizeLayer(rasterizedDS, [1], memLayer, burn_values=[1])
|
|
rasterizedArray = rasterizedDS.ReadAsArray()
|
|
|
|
srcArray = numpy.nan_to_num(srcArray)
|
|
masked = numpy.ma.MaskedArray(srcArray,
|
|
mask=numpy.logical_or(srcArray == noData,
|
|
numpy.logical_not(rasterizedArray)))
|
|
|
|
self.calculateHypsometry(f.id(), fName, feedback, masked,
|
|
cellXSize, cellYSize, percentage, step)
|
|
|
|
memVDS = None
|
|
rasterizedDS = None
|
|
feedback.setProgress(int(current * total))
|
|
|
|
rasterDS = None
|
|
|
|
def calculateHypsometry(self, fid, fName, feedback, data, pX, pY,
|
|
percentage, step):
|
|
out = dict()
|
|
d = data.compressed()
|
|
if d.size == 0:
|
|
feedback.pushInfo(
|
|
self.tr('Feature {0} does not intersect raster or '
|
|
'entirely located in NODATA area').format(fid))
|
|
return
|
|
|
|
minValue = d.min()
|
|
maxValue = d.max()
|
|
startValue = minValue
|
|
tmpValue = minValue + step
|
|
while startValue < maxValue:
|
|
out[tmpValue] = ((startValue <= d) & (d < tmpValue)).sum()
|
|
startValue = tmpValue
|
|
tmpValue += step
|
|
|
|
if percentage:
|
|
multiplier = 100.0 / len(d.flat)
|
|
else:
|
|
multiplier = pX * pY
|
|
|
|
for k, v in list(out.items()):
|
|
out[k] = v * multiplier
|
|
|
|
prev = None
|
|
for i in sorted(out.items()):
|
|
if prev is None:
|
|
out[i[0]] = i[1]
|
|
else:
|
|
out[i[0]] = i[1] + out[prev]
|
|
prev = i[0]
|
|
|
|
writer = vector.TableWriter(fName, 'utf-8', [self.tr('Area'), self.tr('Elevation')])
|
|
for i in sorted(out.items()):
|
|
writer.addRecord([i[1], i[0]])
|
|
del writer
|