Python Rasterize Sum Variableconvert vector (point shape) to raster (tif) using python gdal lib in...
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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?
python rasterization
add a comment |
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
add a comment |
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
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
python rasterization
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. :)
New contributor
add a comment |
Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)
New contributor
add a comment |
Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)
New contributor
Hej! Did you find a solution for your problem?? I'm having kind of the same here. :)
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New contributor
answered 13 mins ago
Christin AbelChristin Abel
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