add tip list

align_trinkbrunnen.py

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+import rasterio
+import geopandas as gpd
+import numpy as np
+import matplotlib.pyplot as plt
+
+# --- CONFIG ---
+raster_path = 'geodata/s2_2025.tif'
+geojson_path = 'geodata/Trinkbrunnen_Berlin.geojson'
+
+# --- LOAD RASTER ---
+with rasterio.open(raster_path) as src:
+    map_img = src.read([1, 2, 3])
+    map_img = np.transpose(map_img, (1, 2, 0))
+    map_transform = src.transform
+    map_crs = src.crs
+    map_bounds = src.bounds
+    map_width = src.width
+    map_height = src.height
+
+# --- LOAD GEOJSON ---
+gdf = gpd.read_file(geojson_path)
+if gdf.crs != map_crs:
+    gdf = gdf.to_crs(map_crs)
+
+# --- PROJECT POINTS TO PIXELS ---
+pixel_positions = []
+for geom in gdf.geometry:
+    if geom and geom.type == 'Point':
+        x, y = geom.x, geom.y
+        px, py = ~map_transform * (x, y)
+        pixel_positions.append((int(px), int(py)))
+
+# --- VISUALIZE ---
+
+plt.figure(figsize=(10, 10))
+plt.imshow(map_img)
+for px, py in pixel_positions:
+    plt.scatter(px, py, c='deepskyblue', s=40, edgecolors='black', label='Trinkbrunnen')
+plt.title('Trinkbrunnen auf der Berlin-Karte')
+plt.axis('off')
+plt.savefig('datenvisualisierung/trinkbrunnen_karte.png', bbox_inches='tight', dpi=200)
+plt.show()
+
+# --- EXPORT PIXEL POSITIONS FOR GAME ---
+# Save as npy for easy loading in pygame
+np.save('trinkbrunnen_pixel_positions.npy', np.array(pixel_positions))
+
+print(f"{len(pixel_positions)} Trinkbrunnen-Pixelpositionen wurden in trinkbrunnen_pixel_positions.npy gespeichert.")