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Python Rasterize Sum Variable


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I'm trying to reproduce the R rasterize function in python to streamline my code and am having issues with summing multiple points in the raster. Essentially I want to sum the value of my variable for every point in the grid I create. However currently it only appears to be returning the value of the first point in the grid it sees.



import rasterio
import geopandas as gpd

def create_raster_defined_res(geodataset, output, out_var, resolution):
res = (resolution, resolution)
bounds = geodataset.total_bounds
kwargs = {
'count': 1,
'crs': geodataset.crs['init'],
'bounds': bounds,
'width': max(int(ceil((bounds[2] - bounds[0]) / float(res[0]))), 1),
'height': max(int(ceil((bounds[3] - bounds[1]) / float(res[1]))), 1),
'affine': Affine(res[0], 0, bounds[0], 0, -res[1], bounds[3]),
'transform': (bounds[0], res[0], 0, bounds[3], 0, -res[1]),
'compress': 'lzw',
'driver': u'GTiff',
'dtype': 'float64',
#'nodata': -1e+308
}

with rasterio.open(output, 'w', **kwargs) as out:
out_arr = np.empty([kwargs['height'],kwargs['width']])

# this is where we create a generator of geom, value pairs to use in rasterizing
shapes = ((geom,value) for geom, value in zip(geodataset['geometry'], geodataset[out_var]))

burned = rasterize(shapes=shapes, fill=0, out=out_arr, transform=kwargs['affine'])
out.write_band(1, burned)

create_raster_defined_res(geopandas_dataset, output_tiff, output_var, 2500)


Is there a way to add a parameter to sum the value of all the points that enter into the grid or tell it to add instead of just taking the value of the first point?










share|improve this question



























    0















    I'm trying to reproduce the R rasterize function in python to streamline my code and am having issues with summing multiple points in the raster. Essentially I want to sum the value of my variable for every point in the grid I create. However currently it only appears to be returning the value of the first point in the grid it sees.



    import rasterio
    import geopandas as gpd

    def create_raster_defined_res(geodataset, output, out_var, resolution):
    res = (resolution, resolution)
    bounds = geodataset.total_bounds
    kwargs = {
    'count': 1,
    'crs': geodataset.crs['init'],
    'bounds': bounds,
    'width': max(int(ceil((bounds[2] - bounds[0]) / float(res[0]))), 1),
    'height': max(int(ceil((bounds[3] - bounds[1]) / float(res[1]))), 1),
    'affine': Affine(res[0], 0, bounds[0], 0, -res[1], bounds[3]),
    'transform': (bounds[0], res[0], 0, bounds[3], 0, -res[1]),
    'compress': 'lzw',
    'driver': u'GTiff',
    'dtype': 'float64',
    #'nodata': -1e+308
    }

    with rasterio.open(output, 'w', **kwargs) as out:
    out_arr = np.empty([kwargs['height'],kwargs['width']])

    # this is where we create a generator of geom, value pairs to use in rasterizing
    shapes = ((geom,value) for geom, value in zip(geodataset['geometry'], geodataset[out_var]))

    burned = rasterize(shapes=shapes, fill=0, out=out_arr, transform=kwargs['affine'])
    out.write_band(1, burned)

    create_raster_defined_res(geopandas_dataset, output_tiff, output_var, 2500)


    Is there a way to add a parameter to sum the value of all the points that enter into the grid or tell it to add instead of just taking the value of the first point?










    share|improve this question

























      0












      0








      0








      I'm trying to reproduce the R rasterize function in python to streamline my code and am having issues with summing multiple points in the raster. Essentially I want to sum the value of my variable for every point in the grid I create. However currently it only appears to be returning the value of the first point in the grid it sees.



      import rasterio
      import geopandas as gpd

      def create_raster_defined_res(geodataset, output, out_var, resolution):
      res = (resolution, resolution)
      bounds = geodataset.total_bounds
      kwargs = {
      'count': 1,
      'crs': geodataset.crs['init'],
      'bounds': bounds,
      'width': max(int(ceil((bounds[2] - bounds[0]) / float(res[0]))), 1),
      'height': max(int(ceil((bounds[3] - bounds[1]) / float(res[1]))), 1),
      'affine': Affine(res[0], 0, bounds[0], 0, -res[1], bounds[3]),
      'transform': (bounds[0], res[0], 0, bounds[3], 0, -res[1]),
      'compress': 'lzw',
      'driver': u'GTiff',
      'dtype': 'float64',
      #'nodata': -1e+308
      }

      with rasterio.open(output, 'w', **kwargs) as out:
      out_arr = np.empty([kwargs['height'],kwargs['width']])

      # this is where we create a generator of geom, value pairs to use in rasterizing
      shapes = ((geom,value) for geom, value in zip(geodataset['geometry'], geodataset[out_var]))

      burned = rasterize(shapes=shapes, fill=0, out=out_arr, transform=kwargs['affine'])
      out.write_band(1, burned)

      create_raster_defined_res(geopandas_dataset, output_tiff, output_var, 2500)


      Is there a way to add a parameter to sum the value of all the points that enter into the grid or tell it to add instead of just taking the value of the first point?










      share|improve this question














      I'm trying to reproduce the R rasterize function in python to streamline my code and am having issues with summing multiple points in the raster. Essentially I want to sum the value of my variable for every point in the grid I create. However currently it only appears to be returning the value of the first point in the grid it sees.



      import rasterio
      import geopandas as gpd

      def create_raster_defined_res(geodataset, output, out_var, resolution):
      res = (resolution, resolution)
      bounds = geodataset.total_bounds
      kwargs = {
      'count': 1,
      'crs': geodataset.crs['init'],
      'bounds': bounds,
      'width': max(int(ceil((bounds[2] - bounds[0]) / float(res[0]))), 1),
      'height': max(int(ceil((bounds[3] - bounds[1]) / float(res[1]))), 1),
      'affine': Affine(res[0], 0, bounds[0], 0, -res[1], bounds[3]),
      'transform': (bounds[0], res[0], 0, bounds[3], 0, -res[1]),
      'compress': 'lzw',
      'driver': u'GTiff',
      'dtype': 'float64',
      #'nodata': -1e+308
      }

      with rasterio.open(output, 'w', **kwargs) as out:
      out_arr = np.empty([kwargs['height'],kwargs['width']])

      # this is where we create a generator of geom, value pairs to use in rasterizing
      shapes = ((geom,value) for geom, value in zip(geodataset['geometry'], geodataset[out_var]))

      burned = rasterize(shapes=shapes, fill=0, out=out_arr, transform=kwargs['affine'])
      out.write_band(1, burned)

      create_raster_defined_res(geopandas_dataset, output_tiff, output_var, 2500)


      Is there a way to add a parameter to sum the value of all the points that enter into the grid or tell it to add instead of just taking the value of the first point?







      python rasterization






      share|improve this question













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      asked Jul 20 '18 at 13:55









      DarknessFallsDarknessFalls

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          Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)






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            Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)






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            Christin Abel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
            Check out our Code of Conduct.

























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              Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)






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              New contributor




              Christin Abel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.























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                Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)






                share|improve this answer








                New contributor




                Christin Abel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.










                Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)







                share|improve this answer








                New contributor




                Christin Abel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









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                answered 13 mins ago









                Christin AbelChristin Abel

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