Geolokalisation entfernt

Geovisualization

@@ -1,80 +0,0 @@
-import os
-import pandas as pd
-import bibtexparser
-import folium
-from concurrent.futures import ThreadPoolExecutor
-from tqdm import tqdm
-
-# Clear the terminal
-os.system('cls' if os.name == 'nt' else 'clear')
-
-# Pfade zu den Dateien
-geonames_file_path = 'allCountries.txt'
-bib_file_path = 'Research/Charité - Universitätsmedizin Berlin/Systematische Literaturrecherche/Literaturverzeichnis.bib'
-cleaned_bib_file_path = 'Research/Charité - Universitätsmedizin Berlin/Systematische Literaturrecherche/cleaned_Literaturverzeichnis.bib'
-
-# Spaltennamen laut Geonames README
-columns = [
-    'geonameid', 'name', 'asciiname', 'alternatenames', 'latitude', 'longitude',
-    'feature class', 'feature code', 'country code', 'cc2', 'admin1 code',
-    'admin2 code', 'admin3 code', 'admin4 code', 'population', 'elevation', 'dem',
-    'timezone', 'modification date'
-]
-
-# GeoNames-Daten laden
-print("Lade GeoNames-Daten...")
-geo_df = pd.read_csv(geonames_file_path, sep='\t', header=None, names=columns, usecols=['name', 'asciiname', 'latitude', 'longitude'])
-geo_df.dropna(subset=['latitude', 'longitude'], inplace=True)
-print("GeoNames-Daten geladen.")
-
-# BibTeX-Datei laden
-print("Lade BibTeX-Datei...")
-with open(bib_file_path, encoding='utf-8') as bibtex_file:
-    bib_database = bibtexparser.load(bibtex_file)
-print("BibTeX-Datei geladen.")
-
-# Ortsnamen extrahieren und bereinigen
-print("Extrahiere und bereinige Ortsnamen...")
-locations = set()
-for entry in bib_database.entries:
-    if 'address' in entry:
-        for loc in entry['address'].split(';'):
-            locations.update(loc.split(','))
-
-cleaned_locations = {loc.strip() for loc in locations}
-print("Ortsnamen extrahiert und bereinigt.")
-
-# Geo-Koordinaten zuordnen
-def find_coordinates(location):
-    match = geo_df[(geo_df['name'].str.lower() == location.lower()) | (geo_df['asciiname'].str.lower() == location.lower())]
-    if not match.empty:
-        return match.iloc[0]['latitude'], match.iloc[0]['longitude']
-    return None, None
-
-print("Suche Geo-Koordinaten...")
-location_coords = {}
-
-for location in tqdm(cleaned_locations, desc="Bearbeitung der Ortsnamen"):
-    latitude, longitude = find_coordinates(location)
-    if latitude is not None and longitude is not None:
-        location_coords[location] = (latitude, longitude)
-
-print("Geo-Koordinaten gefunden.")
-
-# Erstelle die Karte
-print("Erstelle Karte...")
-map_center = [geo_df['latitude'].mean(), geo_df['longitude'].mean()]
-map = folium.Map(location=map_center, zoom_start=2)
-
-for location, coords in location_coords.items():
-    folium.Marker(location=coords, popup=location).add_to(map)
-
-map_file_path = 'Research/Charité - Universitätsmedizin Berlin/Systematische Literaturrecherche/literature_map.html'
-map.save(map_file_path)
-print(f"Karte gespeichert unter {map_file_path}")
-
-# Bereinigen und Speichern der BibTeX-Datei
-print("Speichere bereinigte BibTeX-Datei...")
-with open(cleaned_bib_file_path, 'w', encoding='utf-8') as bibtex_file:
-    bibtexparser.dump(bib_database, bibtex_file)
-print(f"Bereinigte BibTeX-Datei gespeichert unter {cleaned_bib_file_path}")