Why do my google tiles look poor in a Cartopy map?

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北荒
北荒 2021-02-08 16:49

I am a bit puzzled by the rendering of google tiles with Cartopy. The map looks extremely poor compared to the standard google map look.

Example (code from https://ocefp

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  •  囚心锁ツ
    2021-02-08 17:23

    This question was also asked on the cartopy issue tracker at https://github.com/SciTools/cartopy/issues/1048, where it was suggested setting the interpolation= keyword argument. This is the standard matplotlib interpolation for imshow, which is documented at https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods.html.

    We determined in the issue tracker that an interpolation of nearest is what you are seeing here. Changing that to bilinear gives a good result, and an even better result is achievable with different interpolation schemes. For example the spline36 scheme results in a very pleasant image...

    So, with your example code of:

    import matplotlib.pyplot as plt
    
    import cartopy.crs as ccrs
    from cartopy.io import shapereader
    from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
    
    import cartopy.io.img_tiles as cimgt
    
    extent = [-39, -38.25, -13.25, -12.5]
    
    request = cimgt.OSM()
    
    fig = plt.figure(figsize=(9, 13))
    ax = plt.axes(projection=request.crs)
    gl = ax.gridlines(draw_labels=True, alpha=0.2)
    gl.xlabels_top = gl.ylabels_right = False
    gl.xformatter = LONGITUDE_FORMATTER
    gl.yformatter = LATITUDE_FORMATTER
    
    ax.set_extent(extent)
    
    ax.add_image(request, 10)
    
    plt.show()
    

    We get:

    To set bilinear interpolation, we can change the add_image line to:

    ax.add_image(request, 10, interpolation='bilinear')
    

    Even better, let's try something like spline36 with:

    ax.add_image(request, 10, interpolation='spine36')
    

    Putting these images side-by-side:

    There is a caveat (as pointed out in https://github.com/SciTools/cartopy/issues/1048#issuecomment-417001744) for the case when the tiles are being plotted on their non-native projection. In that situation we have two variables to configure:

    1) The resolution of the regridding from native projection to target projection 2) The interpolation scheme of the rendering of the reprojected image (this is what we have been changing in this answer).

    Hope this is all useful information.

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