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Aligning Raster and vector layer using PyQGIS when they do not match?



Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?PyQGIS raster image shifted from vector shapefileCreating memory layer with .png image using PyQGIS?Generate centroids for vector polygons based on raster and land-use data using QGISPlanar CRS for raster and vector layersRaster and vector layer in the same CRS don't matchMerging raster and vector not workingChanging origin (top left corner) coordinates of raster using PyQGIS?Align two georreferenced rasters which have different resolution in QGISIs raster lossy and vector not lossy?Raster with wrong extents when using Polygon to RasterWhy are my vector layers with different CRS not aligning?Creating memory layer with .png image using PyQGIS?



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1















Relatively new to GIS. I've created a vector layer of points based on row/col position of high population density pixels in a raster layer. The layers do not align even though they have the same CRS, presumably because they do not have the same extent.



Is it possible to edit the extent of the raster to match that of the vector layer or when creating the new vector layer can I define extent based on my raster layer?



enter image description here










share|improve this question
























  • If my answer solved your issue you should mark it as accepted.

    – xunilk
    Apr 28 '17 at 21:17

















1















Relatively new to GIS. I've created a vector layer of points based on row/col position of high population density pixels in a raster layer. The layers do not align even though they have the same CRS, presumably because they do not have the same extent.



Is it possible to edit the extent of the raster to match that of the vector layer or when creating the new vector layer can I define extent based on my raster layer?



enter image description here










share|improve this question
























  • If my answer solved your issue you should mark it as accepted.

    – xunilk
    Apr 28 '17 at 21:17













1












1








1








Relatively new to GIS. I've created a vector layer of points based on row/col position of high population density pixels in a raster layer. The layers do not align even though they have the same CRS, presumably because they do not have the same extent.



Is it possible to edit the extent of the raster to match that of the vector layer or when creating the new vector layer can I define extent based on my raster layer?



enter image description here










share|improve this question
















Relatively new to GIS. I've created a vector layer of points based on row/col position of high population density pixels in a raster layer. The layers do not align even though they have the same CRS, presumably because they do not have the same extent.



Is it possible to edit the extent of the raster to match that of the vector layer or when creating the new vector layer can I define extent based on my raster layer?



enter image description here







raster coordinate-system pyqgis vector






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 12 at 20:52









PolyGeo

54.1k1782246




54.1k1782246










asked Apr 13 '17 at 20:22









SimonSimon

343




343












  • If my answer solved your issue you should mark it as accepted.

    – xunilk
    Apr 28 '17 at 21:17

















  • If my answer solved your issue you should mark it as accepted.

    – xunilk
    Apr 28 '17 at 21:17
















If my answer solved your issue you should mark it as accepted.

– xunilk
Apr 28 '17 at 21:17





If my answer solved your issue you should mark it as accepted.

– xunilk
Apr 28 '17 at 21:17










1 Answer
1






active

oldest

votes


















2














To do that you need to get simultaneously x,y coordinates of each point by using some raster parameters (as xmin, ymax, and x, y resolution). Next code uses these parameters for obtaining a point memory layer where each point is situated at the middle of each raster cell.



layer = iface.activeLayer()

provider = layer.dataProvider()

extent = layer.extent()
xmin,ymin,xmax,ymax = extent.toRectF().getCoords()
rows = layer.height()
cols = layer.width()
xSize = layer.rasterUnitsPerPixelX()
ySize = layer.rasterUnitsPerPixelY()

block = provider.block(1, extent, cols, rows)

xinit = xmin + xSize/2
yinit = ymax - ySize/2

x = xinit
y = yinit

points = []
values = []

for i in range(rows):
for j in range(cols):
value = block.value(i,j)
if value > 150 and value < 255:
points.append(QgsPoint(x,y))
values.append(value)
x += xSize
y -= ySize
x = xinit

epsg = layer.crs().postgisSrid()

uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer&field=value:integer""&index=yes"

mem_layer = QgsVectorLayer(uri,
'point',
'memory')

prov = mem_layer.dataProvider()

feats = [ QgsFeature() for i in range(len(points)) ]

for i, feat in enumerate(feats):
feat.setAttributes([i, values[i]])
feat.setGeometry(QgsGeometry.fromPoint(points[i]))

prov.addFeatures(feats)

QgsMapLayerRegistry.instance().addMapLayer(mem_layer)


I used this population raster; where the criterion to get points was they represent values greater than 150 (254 = 10,000 persons/km2 and 255 = No data). After running the code at Python Console of QGIS I got:



enter image description here



Points over raster match as expected.






share|improve this answer























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    1 Answer
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    1 Answer
    1






    active

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    active

    oldest

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    active

    oldest

    votes









    2














    To do that you need to get simultaneously x,y coordinates of each point by using some raster parameters (as xmin, ymax, and x, y resolution). Next code uses these parameters for obtaining a point memory layer where each point is situated at the middle of each raster cell.



    layer = iface.activeLayer()

    provider = layer.dataProvider()

    extent = layer.extent()
    xmin,ymin,xmax,ymax = extent.toRectF().getCoords()
    rows = layer.height()
    cols = layer.width()
    xSize = layer.rasterUnitsPerPixelX()
    ySize = layer.rasterUnitsPerPixelY()

    block = provider.block(1, extent, cols, rows)

    xinit = xmin + xSize/2
    yinit = ymax - ySize/2

    x = xinit
    y = yinit

    points = []
    values = []

    for i in range(rows):
    for j in range(cols):
    value = block.value(i,j)
    if value > 150 and value < 255:
    points.append(QgsPoint(x,y))
    values.append(value)
    x += xSize
    y -= ySize
    x = xinit

    epsg = layer.crs().postgisSrid()

    uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer&field=value:integer""&index=yes"

    mem_layer = QgsVectorLayer(uri,
    'point',
    'memory')

    prov = mem_layer.dataProvider()

    feats = [ QgsFeature() for i in range(len(points)) ]

    for i, feat in enumerate(feats):
    feat.setAttributes([i, values[i]])
    feat.setGeometry(QgsGeometry.fromPoint(points[i]))

    prov.addFeatures(feats)

    QgsMapLayerRegistry.instance().addMapLayer(mem_layer)


    I used this population raster; where the criterion to get points was they represent values greater than 150 (254 = 10,000 persons/km2 and 255 = No data). After running the code at Python Console of QGIS I got:



    enter image description here



    Points over raster match as expected.






    share|improve this answer



























      2














      To do that you need to get simultaneously x,y coordinates of each point by using some raster parameters (as xmin, ymax, and x, y resolution). Next code uses these parameters for obtaining a point memory layer where each point is situated at the middle of each raster cell.



      layer = iface.activeLayer()

      provider = layer.dataProvider()

      extent = layer.extent()
      xmin,ymin,xmax,ymax = extent.toRectF().getCoords()
      rows = layer.height()
      cols = layer.width()
      xSize = layer.rasterUnitsPerPixelX()
      ySize = layer.rasterUnitsPerPixelY()

      block = provider.block(1, extent, cols, rows)

      xinit = xmin + xSize/2
      yinit = ymax - ySize/2

      x = xinit
      y = yinit

      points = []
      values = []

      for i in range(rows):
      for j in range(cols):
      value = block.value(i,j)
      if value > 150 and value < 255:
      points.append(QgsPoint(x,y))
      values.append(value)
      x += xSize
      y -= ySize
      x = xinit

      epsg = layer.crs().postgisSrid()

      uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer&field=value:integer""&index=yes"

      mem_layer = QgsVectorLayer(uri,
      'point',
      'memory')

      prov = mem_layer.dataProvider()

      feats = [ QgsFeature() for i in range(len(points)) ]

      for i, feat in enumerate(feats):
      feat.setAttributes([i, values[i]])
      feat.setGeometry(QgsGeometry.fromPoint(points[i]))

      prov.addFeatures(feats)

      QgsMapLayerRegistry.instance().addMapLayer(mem_layer)


      I used this population raster; where the criterion to get points was they represent values greater than 150 (254 = 10,000 persons/km2 and 255 = No data). After running the code at Python Console of QGIS I got:



      enter image description here



      Points over raster match as expected.






      share|improve this answer

























        2












        2








        2







        To do that you need to get simultaneously x,y coordinates of each point by using some raster parameters (as xmin, ymax, and x, y resolution). Next code uses these parameters for obtaining a point memory layer where each point is situated at the middle of each raster cell.



        layer = iface.activeLayer()

        provider = layer.dataProvider()

        extent = layer.extent()
        xmin,ymin,xmax,ymax = extent.toRectF().getCoords()
        rows = layer.height()
        cols = layer.width()
        xSize = layer.rasterUnitsPerPixelX()
        ySize = layer.rasterUnitsPerPixelY()

        block = provider.block(1, extent, cols, rows)

        xinit = xmin + xSize/2
        yinit = ymax - ySize/2

        x = xinit
        y = yinit

        points = []
        values = []

        for i in range(rows):
        for j in range(cols):
        value = block.value(i,j)
        if value > 150 and value < 255:
        points.append(QgsPoint(x,y))
        values.append(value)
        x += xSize
        y -= ySize
        x = xinit

        epsg = layer.crs().postgisSrid()

        uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer&field=value:integer""&index=yes"

        mem_layer = QgsVectorLayer(uri,
        'point',
        'memory')

        prov = mem_layer.dataProvider()

        feats = [ QgsFeature() for i in range(len(points)) ]

        for i, feat in enumerate(feats):
        feat.setAttributes([i, values[i]])
        feat.setGeometry(QgsGeometry.fromPoint(points[i]))

        prov.addFeatures(feats)

        QgsMapLayerRegistry.instance().addMapLayer(mem_layer)


        I used this population raster; where the criterion to get points was they represent values greater than 150 (254 = 10,000 persons/km2 and 255 = No data). After running the code at Python Console of QGIS I got:



        enter image description here



        Points over raster match as expected.






        share|improve this answer













        To do that you need to get simultaneously x,y coordinates of each point by using some raster parameters (as xmin, ymax, and x, y resolution). Next code uses these parameters for obtaining a point memory layer where each point is situated at the middle of each raster cell.



        layer = iface.activeLayer()

        provider = layer.dataProvider()

        extent = layer.extent()
        xmin,ymin,xmax,ymax = extent.toRectF().getCoords()
        rows = layer.height()
        cols = layer.width()
        xSize = layer.rasterUnitsPerPixelX()
        ySize = layer.rasterUnitsPerPixelY()

        block = provider.block(1, extent, cols, rows)

        xinit = xmin + xSize/2
        yinit = ymax - ySize/2

        x = xinit
        y = yinit

        points = []
        values = []

        for i in range(rows):
        for j in range(cols):
        value = block.value(i,j)
        if value > 150 and value < 255:
        points.append(QgsPoint(x,y))
        values.append(value)
        x += xSize
        y -= ySize
        x = xinit

        epsg = layer.crs().postgisSrid()

        uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer&field=value:integer""&index=yes"

        mem_layer = QgsVectorLayer(uri,
        'point',
        'memory')

        prov = mem_layer.dataProvider()

        feats = [ QgsFeature() for i in range(len(points)) ]

        for i, feat in enumerate(feats):
        feat.setAttributes([i, values[i]])
        feat.setGeometry(QgsGeometry.fromPoint(points[i]))

        prov.addFeatures(feats)

        QgsMapLayerRegistry.instance().addMapLayer(mem_layer)


        I used this population raster; where the criterion to get points was they represent values greater than 150 (254 = 10,000 persons/km2 and 255 = No data). After running the code at Python Console of QGIS I got:



        enter image description here



        Points over raster match as expected.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Apr 14 '17 at 11:52









        xunilkxunilk

        15k31943




        15k31943



























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