.gitignore

@@ -13,6 +13,12 @@ ENV/
 # Jupyter Notebook checkpoints
 .ipynb_checkpoints/
 
+# Raster and geodata outputs
+*.tif
+*.npy
+*.png
+trinkbrunnen_pixel_positions.npy
+trinkbrunnen_karte.png
 
 # Matplotlib figures
 *.pdf
@@ -37,7 +43,9 @@ htmlcov/
 *.bak
 *.tmp
 
-
+# Ignore results folder except source data
+results/
+!results/s2_2025.tif
 
 # Ignore geodata except source files
 !geodata/Trinkbrunnen_Berlin.geojson

align_trinkbrunnen.py

@@ -2,13 +2,10 @@ import rasterio
 import geopandas as gpd
 import numpy as np
 import matplotlib.pyplot as plt
-import os
 
 # --- CONFIG ---
-raster_path = os.path.join('geodata', 's2_2025.tif')
-geojson_path = os.path.join('geodata', 'Trinkbrunnen_Berlin.geojson')
-output_dir = os.path.join('datenvisualisierung')
-os.makedirs(output_dir, exist_ok=True)
+raster_path = 'geodata/s2_2025.tif'
+geojson_path = 'geodata/Trinkbrunnen_Berlin.geojson'
 
 # --- LOAD RASTER ---
 with rasterio.open(raster_path) as src:
@@ -41,7 +38,7 @@ 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(os.path.join(output_dir, 'trinkbrunnen_karte.png'), bbox_inches='tight', dpi=200)
+plt.savefig('datenvisualisierung/trinkbrunnen_karte.png', bbox_inches='tight', dpi=200)
 plt.show()
 
 # --- EXPORT PIXEL POSITIONS FOR GAME ---