def save_image(x, y, values, years, **kwargs):
    """
    Enregistre les cartes dessinees dans le repertoire courant
    :param          x               vecteur de longitudes
    :param          y               vecteur de latitudes
    :param          values           vecteur des valeurs representees
    :param          years            vecteur des annees sur lesquelles les cartes sont faites
    :param          kwargs          parametres additionnels
    """
    import cartopy.crs as ccrs
    import cartopy.feature as cfeature
    from matplotlib import pyplot as plt
    from cartopy.feature import NaturalEarthFeature, COLORS
    import numpy as np
    import pandas as pd
    assert isinstance(x, np.ndarray
        ), 'Erreur, x n est pas de type np.ndarray(vecteur)'
    assert isinstance(y, np.ndarray
        ), 'Erreur, y n est pas de type np.ndarray(vecteur)'
    assert isinstance(years, np.ndarray
        ), 'Erreur, years n est pas de type np.ndarray(vecteur)'
    assert isinstance(values, pd.DataFrame
        ), 'Erreur, values n est pas de type pd.DataFrame'
    assert len(x) == len(y), 'Erreur, x et y doit etre de meme taille'
    resolution = '50m'
    BORDERS = NaturalEarthFeature('cultural', 'admin_0_boundary_lines_land',
        resolution, edgecolor='black', facecolor='none')
    STATES = NaturalEarthFeature('cultural',
        'admin_1_states_provinces_lakes', resolution, edgecolor='black',
        facecolor='none')
    COASTLINE = NaturalEarthFeature('physical', 'coastline', resolution,
        edgecolor='black', facecolor='none')
    LAKES = NaturalEarthFeature('physical', 'lakes', resolution, edgecolor=
        'face', facecolor=COLORS['water'])
    LAND = NaturalEarthFeature('physical', 'land', resolution, edgecolor=
        'face', facecolor=COLORS['land'], zorder=-1)
    OCEAN = NaturalEarthFeature('physical', 'ocean', resolution, edgecolor=
        'face', facecolor=COLORS['water'], zorder=-1)
    RIVERS = NaturalEarthFeature('physical', 'rivers_lake_centerlines',
        resolution, edgecolor=COLORS['water'], facecolor='none')
    for i in range(len(years)):
        fig = plt.figure(figsize=(10, 7))
        ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
        ax.set_extent([-5, 10, 41, 52])
        ax.add_feature(BORDERS)
        ax.add_feature(LAKES)
        ax.add_feature(LAND)
        ax.add_feature(OCEAN)
        ax.add_feature(RIVERS)
        ax.add_feature(COASTLINE)
        plt.scatter(x, y, s=values.iloc[:, (i)] * 100, c=values.iloc[:, (i)
            ], alpha=0.5)
        plt.colorbar()
        ax.set_title('Annee' + ':' + str(years[i]))
        fig.savefig('carte' + str(years[i]) + '.png')
        plt.close(fig)
    return
