diff --git a/extreme_data/meteo_france_data/scm_models_data/abstract_study.py b/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
index 7547907e63af5fb8be71fb1eed345194f1146296..1436a90894a31f298ed41b5bd91442a5ac20f20c 100644
--- a/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
+++ b/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
@@ -505,6 +505,8 @@ class AbstractStudy(object):
         # Lower a bit the Maurienne massif
         # df.loc['Mercantour', 'coord_x'] += 14000 # shift to the right
         df.loc['Maurienne', 'coord_y'] -= 6000 # shift down
+        df.loc['Maurienne', 'coord_y'] -= 5000 # shift down
+        df.loc['Maurienne', 'coord_x'] += 3000 # shift down
         df.loc['Vanoise', 'coord_y'] -= 4000 # shift down
         df.loc['Ubaye', 'coord_y'] -= 4000 # shift down
         # Filter, keep massifs present at the altitude of interest
@@ -566,8 +568,6 @@ class AbstractStudy(object):
                 massif_name = cls.coordinate_id_to_massif_name[coordinate_id]
                 if massif_name_to_marker_style is not None and massif_name in massif_name_to_marker_style:
                     massif_coordinate = masssif_coordinate_for_display.df_all_coordinates.loc[massif_name, :].values
-                    if massif_name in ['Maurienne', 'Mercantour']:
-                        massif_coordinate[1] -= 5000
                     ax.plot(massif_coordinate[0],
                             massif_coordinate[1], **massif_name_to_marker_style[massif_name])
 
diff --git a/extreme_data/meteo_france_data/scm_models_data/visualization/study_visualizer.py b/extreme_data/meteo_france_data/scm_models_data/visualization/study_visualizer.py
index 7a3c5b69c00964ce92b20843c4e5dff623d7b7c2..877c78c08eccc4ace8c830067c0579cfc1b541bb 100644
--- a/extreme_data/meteo_france_data/scm_models_data/visualization/study_visualizer.py
+++ b/extreme_data/meteo_france_data/scm_models_data/visualization/study_visualizer.py
@@ -541,11 +541,6 @@ class StudyVisualizer(VisualizationParameters):
 
     def show_or_save_to_file(self, add_classic_title=True, no_title=False, tight_layout=False, tight_pad=None,
                              dpi=None, folder_for_variable=True):
-        if tight_layout:
-            if tight_pad is not None:
-                plt.tight_layout(**tight_pad)
-            else:
-                plt.tight_layout()
         assert self.plot_name is not None
         if add_classic_title:
             title = self.study.title
@@ -568,19 +563,36 @@ class StudyVisualizer(VisualizationParameters):
             if not self.only_one_graph:
                 filename += "{}".format('_'.join(self.plot_name.split())) + '_'
             filename += specific_title
-            self.savefig_in_results(filename, dpi=dpi)
+            # Save a first time in transparent
+            self.savefig_in_results(filename, transparent=True)
+            self.savefig_in_results(filename, transparent=False, tight_pad=tight_pad)
 
     @classmethod
-    def savefig_in_results(cls, filename, dpi=None, format='svg'):
-        assert format in ['png', 'svg']
-        filepath = op.join(AbstractStudy.result_full_path, filename + '.' + format)
+    def savefig_in_results(cls, filename, transparent=True, tight_pad=None):
+        img_format = 'svg' if transparent else 'png'
+        filepath = op.join(AbstractStudy.result_full_path, filename + '.' + img_format)
+        if transparent:
+            dir_list = filepath.split('/')
+            dir_list[-1:] = ['transparent', dir_list[-1]]
+            filepath = '/'.join(dir_list)
         dirname = op.dirname(filepath)
         if not op.exists(dirname):
             os.makedirs(dirname, exist_ok=True)
-        if dpi is not None:
-            plt.savefig(filepath, dpi=dpi)
+
+        if transparent:
+            plt.savefig(filepath, bbox_inches=0, transparent=True)
         else:
-            plt.savefig(filepath)
+            if tight_pad is not None:
+                plt.tight_layout(**tight_pad)
+            else:
+                plt.tight_layout()
+            plt.savefig(filepath, bbox_inches=0, transparent=False)
+
+            
+        # if dpi is not None:
+        #     plt.savefig(filepath, dpi=dpi)
+        # else:
+        #     plt.savefig(filepath)
 
     def visualize_independent_margin_fits(self, threshold=None, axes=None, show=True):
         # Fit either a GEV or a GPD
diff --git a/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py b/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
index 920107f0bcd814ec48f89a23d65aa88ac8434ad1..524f58aa6422afd2a71b0440708843509467b793 100644
--- a/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
@@ -129,7 +129,7 @@ class AltitudesStudies(object):
     def _plot_maxima_time_series(self, massif_name, massif_id, show=False):
         ax = plt.gca()
         x = self.study.ordered_years
-        for altitude, study in list(self.altitude_to_study.items())[::-1]:
+        for altitude, study in list(self.altitude_to_study.items()):
             if massif_name in study.massif_name_to_annual_maxima:
                 y = study.massif_name_to_annual_maxima[massif_name]
                 label = '{} m'.format(altitude)
@@ -138,11 +138,12 @@ class AltitudesStudies(object):
 
         # Plot for the paper 2
         if massif_name == "Vanoise":
-            ax.yaxis.set_ticks([25 * (j) for j in range(6)])
+            # ax.yaxis.set_ticks([25 * (j) for j in range(6)])
+            ax.yaxis.set_ticks([25 * (j) for j in range(7)])
 
         ax.tick_params(axis='both', which='major', labelsize=20)
         handles, labels = ax.get_legend_handles_labels()
-        ax.legend(handles[::-1], labels[::-1])
+        ax.legend(handles[::-1], labels[::-1], prop={'size': 20})
         plot_name = 'Annual maxima of {} in {}'.format(SCM_STUDY_CLASS_TO_ABBREVIATION[self.study_class],
                                                        massif_name.replace('_', ' '))
         # ax.set_ylabel('{} ({})'.format(plot_name, self.study.variable_unit), fontsize=15)
diff --git a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
index 898d601c419dd8a7a6eba9e928ddaed6e75eaf40..ef29f0d6b75102fdbc0315aff4b31d424616d2c4 100644
--- a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
@@ -265,14 +265,16 @@ class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
     def plot_shape_map(self):
 
         label = 'Shape parameter in 2019 (no unit)'
+        max_abs_change = self._max_abs_for_shape + 0.05
         self.plot_map(massif_name_to_value=self.massif_name_to_shape,
                       label=label,
                       plot_name=label,
+                      fontsize_label=15,
                       add_x_label=True, graduation=0.1, massif_name_to_text=self.massif_name_to_best_name,
                       cmap=matplotlib.cm.get_cmap('BrBG_r'),
                       altitude=self.altitude_group.reference_altitude,
                       add_colorbar=self.add_colorbar,
-                      max_abs_change=self._max_abs_for_shape,
+                      max_abs_change=max_abs_change,
                       fit_method=self.fit_method,
                       xlabel=self.altitude_group.xlabel,
                       )
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py b/projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py
index d39ab87a7aca1809247ca750963f170e2d3fd7ee..f0b69b96048003aeb32a71def94e212027c77010 100644
--- a/projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py
+++ b/projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py
@@ -14,7 +14,7 @@ def plot_coherence_curves(massif_names, visualizer_list: List[AltitudesStudiesVi
     for massif_name in all_valid_names:
 
         # For plotting the legend
-        legend = True
+        legend = False
         if legend:
             ax = plt.gca()
             axes = [ax for _ in range(4)]
@@ -82,11 +82,11 @@ def plot_coherence_curve(axes, massif_name, visualizer_list: List[AltitudesStudi
                     else:
                         ax.fill_between(x_list, lower_bound, upper_bound, color=color, alpha=0.2)
 
-            if is_altitudinal:
+            if legend and is_altitudinal:
                 min, max = ax.get_ylim()
                 ax.set_ylim([min, 2 * max])
-            size = 15 if legend_line else 11
-            ax.legend(prop={'size': size})
+                size = 15 if legend_line else 11
+                ax.legend(prop={'size': size})
         ax.set_ylabel(label)
 
 
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py b/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
index ddad3f10eb6b7f5e4f344a2999d118a6e15dab30..473ebb3441ee76c751d0de3a0ea34345837439d8 100644
--- a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
@@ -179,4 +179,4 @@ def plot_nb_massif_on_upper_axis(ax, labelsize, legend_fontsize, nb_massifs, x):
     ax_twiny.tick_params(labelsize=labelsize)
     ax_twiny.set_xticklabels(nb_massifs)
     ax_twiny.set_xlim(ax.get_xlim())
-    ax_twiny.set_xlabel('Total number of massifs at each elevation (for the percentage)', fontsize=legend_fontsize)
+    ax_twiny.set_xlabel('Total number of massifs at each range (for the percentage)', fontsize=legend_fontsize)
diff --git a/projects/altitude_spatial_model/preliminary_analysis.py b/projects/altitude_spatial_model/preliminary_analysis.py
index 4c65cce1e34316a696e9884b959dd8e5ad5652bd..a8f5b66546736088da62cd464cfa703614434167 100644
--- a/projects/altitude_spatial_model/preliminary_analysis.py
+++ b/projects/altitude_spatial_model/preliminary_analysis.py
@@ -25,7 +25,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
         self.altitudes_for_temporal_hypothesis = [600, 1500, 2400, 3300]
 
     def plot_gev_params_against_altitude(self):
-        legend = True
+        legend = False
         param_names = GevParams.PARAM_NAMES + [100]
         if legend:
             param_names = param_names[:1]
@@ -98,7 +98,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
             visualizer = StudyVisualizer(study=self.study, show=False, save_to_file=True)
             idx = 8 if param_name == GevParams.SHAPE else 1
             the = ' the' if param_name in GevParams.PARAM_NAMES else ''
-            label = 'Elevation gradient for{} {}'.format(the, ylabel[:-idx] + '/100m)')
+            label = 'Elevation gradient for\n{} {}'.format(the, ylabel[:-idx] + '/100m)')
             gev_param_name_to_graduation = {
                 GevParams.LOC: 0.5,
                 GevParams.SCALE: 0.1,
@@ -114,7 +114,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
                                 negative_and_positive_values=param_name == GevParams.SHAPE,
                                 add_colorbar=True,
                                 massif_name_to_text=massif_name_to_r2_score,
-
+                                fontsize_label=13,
                                 )
             plt.close()
 
diff --git a/test/test_extreme_data/test_meteo_france_data/test_SCM_study.py b/test/test_extreme_data/test_meteo_france_data/test_SCM_study.py
index 39fc385d50863cea2fbf6fede85f2c736ba857e1..8a5b6229602b599d10b45dc21c791b070e8b3cc0 100644
--- a/test/test_extreme_data/test_meteo_france_data/test_SCM_study.py
+++ b/test/test_extreme_data/test_meteo_france_data/test_SCM_study.py
@@ -75,12 +75,12 @@ class TestSCMAllStudy(unittest.TestCase):
         values = list(massif_to_value.values())
         vmin, vmax = min(values), max(values)
         massif_to_text = {m: round(a) for m, a in massif_to_value.items()}
-        # study.visualize_study(massif_name_to_value=massif_to_value,
-        #                       massif_name_to_text=massif_to_text,
-        #                       add_text=True,
-        #                       add_colorbar=True,
-        #                       vmin=vmin, vmax=vmax,
-        #                       show=False)
+        study.visualize_study(massif_name_to_value=massif_to_value,
+                              massif_name_to_text=massif_to_text,
+                              add_text=True,
+                              add_colorbar=True,
+                              vmin=vmin, vmax=vmax,
+                              show=False)
         self.assertTrue(True)