def METHOD_NAME(ax, lonmin, latmin, lonmax, latmax, fast, ocean_color = 'white', land_color = cfeature.COLORS['land'], lscale = 'auto', globe=None):
    """
    Plot the landmask or the shapes from GSHHG.
    """
    def show_landmask_roaring(roaring):
        maxn = 512.
        dx = (lonmax - lonmin) / maxn
        dy = (latmax - latmin) / maxn
        dx = max(roaring.dx, dx)
        dy = max(roaring.dy, dy)
        x = np.arange(lonmin, lonmax, dx)
        y = np.arange(latmin, latmax, dy)
        yy, xx = np.meshgrid(y, x)
        img = roaring.mask.contains_many_par(xx.ravel(), yy.ravel()).reshape(yy.shape).T
        from matplotlib import colors
        cmap = colors.ListedColormap([ocean_color, land_color])
        ax.imshow(img, origin = 'lower', extent=[lonmin, lonmax, latmin, latmax],
                  zorder=0,
                    transform=ccrs.PlateCarree(globe=globe), cmap=cmap)
    if fast:
        show_landmask_roaring(get_mask())
    else:
        land = LandmaskFeature(scale=lscale, facecolor=land_color, globe=globe)
        ax.add_feature(land, zorder=2,
                       facecolor=land_color,
                       edgecolor='black')