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| import geopandas as gpd | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from shapely.geometry import Point | |
| # Load data (assuming file paths are correct) | |
| lina1 = gpd.read_file("given_data/cityline_geojson/cityline_2025.geojson") | |
| pop = pd.read_csv("given_data/ibuafjoldi.csv") | |
| smallarea = gpd.read_file("given_data/smasvaedi_2021.json") | |
| dwellings = pd.read_csv("given_data/ibudir.csv") | |
| # Reproject to EPSG:3057 (projected CRS for Iceland, distances in meters) | |
| lina1 = lina1.to_crs(epsg=3057) | |
| smallarea = smallarea.to_crs(epsg=3057) | |
| # Add 400m radius circle using projected coordinates | |
| # Define station coordinates (in EPSG:3057) | |
| station_x = 356250.0 | |
| station_y = 408250.0 | |
| # Create a Shapely Point for the station | |
| station_point = Point(station_x, station_y) | |
| # Create a 400-meter buffer around the station | |
| buffered_circle = station_point.buffer(400) # 400 meters in projected CRS | |
| # Convert the circle into a GeoDataFrame for plotting | |
| circle_gdf = gpd.GeoDataFrame(geometry=[buffered_circle], crs="EPSG:3057") | |
| # Data processing | |
| pop['smasvaedi'] = pop['smasvaedi'].astype(str).str.zfill(4) | |
| pop2024 = pop[(pop['ar'] == 2024) & (pop['aldursflokkur'] == "10-14 ára") & (pop['kyn'] == 1)] | |
| pop2024_smallarea = pd.merge(smallarea, pop2024, left_on='smsv', right_on='smasvaedi', how='left') | |
| # Filter for nuts3 == "001" | |
| filtered_smallarea = pop2024_smallarea[pop2024_smallarea['nuts3'] == "001"] | |
| # Plot the filtered small areas and write the IDs | |
| fig, ax = plt.subplots(1, 1, figsize=(10, 10)) # Adjust figsize as needed | |
| filtered_smallarea.plot(ax=ax, facecolor='none', edgecolor='blue') # Plot small areas with blue borders | |
| lina1.plot(ax=ax, facecolor='none', edgecolor='black') # Plot cityline data | |
| circle_gdf.plot(ax=ax, facecolor='none', edgecolor='red', linewidth=2) # Add the circle in red | |
| # Set x and y axis limits to zoom into the area | |
| ax.set_xlim(355500, 357000) # Adjust to your desired x-axis range | |
| ax.set_ylim(407500, 409000) # Adjust to your desired y-axis range | |
| # Add IDs as text labels | |
| for _, row in filtered_smallarea.iterrows(): | |
| # Get the centroid of each small area | |
| centroid = row.geometry.centroid | |
| # Place the ID as text at the centroid | |
| ax.text(centroid.x, centroid.y, str(row['smsv']), fontsize=8, color='darkred', ha='center') | |
| ax.set_title("Filtered Small Areas with IDs Written Inside") | |
| plt.show() | |