Методы и примеры кода для работы с коллекциями объектов GeoJSON

GeoJSON FeatureCollection — это структура данных, используемая для хранения набора географических объектов в формате GeoJSON. Каждый объект в коллекции представляет собой определенный географический объект, например точку, линию или полигон. Вот несколько методов и примеров кода для работы с GeoJSON FeatureCollections:

  1. Разбор коллекции объектов GeoJSON:

    import json
    def parse_feature_collection(geojson):
       data = json.loads(geojson)
       features = data['features']
       # Process each feature as needed
       for feature in features:
           # Access feature properties and geometry
           properties = feature['properties']
           geometry = feature['geometry']
           # Perform operations on each feature
           # ...
    # Example usage
    geojson = '{"type": "FeatureCollection", "features": [...]}'  # Replace [...] with actual features
    parse_feature_collection(geojson)
  2. Перебор функций в FeatureCollection:

    def iterate_feature_collection(feature_collection):
       for feature in feature_collection['features']:
           # Access feature properties and geometry
           properties = feature['properties']
           geometry = feature['geometry']
           # Perform operations on each feature
           # ...
    # Example usage
    feature_collection = {
       "type": "FeatureCollection",
       "features": [
           {"type": "Feature", "properties": {...}, "geometry": {...}},
           {"type": "Feature", "properties": {...}, "geometry": {...}},
           # Add more features as needed
       ]
    }
    iterate_feature_collection(feature_collection)
  3. Фильтрация объектов по свойствам:

    def filter_features_by_property(feature_collection, property_name, property_value):
       filtered_features = [feature for feature in feature_collection['features'] if
                            feature['properties'].get(property_name) == property_value]
       return filtered_features
    # Example usage
    feature_collection = {
       "type": "FeatureCollection",
       "features": [
           {"type": "Feature", "properties": {"name": "City A"}, "geometry": {...}},
           {"type": "Feature", "properties": {"name": "City B"}, "geometry": {...}},
           {"type": "Feature", "properties": {"name": "City C"}, "geometry": {...}},
       ]
    }
    filtered_features = filter_features_by_property(feature_collection, 'name', 'City B')
    print(filtered_features)
  4. Извлечение геометрии из объектов:

    def extract_geometries(feature_collection):
       geometries = [feature['geometry'] for feature in feature_collection['features']]
       return geometries
    # Example usage
    feature_collection = {
       "type": "FeatureCollection",
       "features": [
           {"type": "Feature", "properties": {...}, "geometry": {...}},
           {"type": "Feature", "properties": {...}, "geometry": {...}},
           # Add more features as needed
       ]
    }
    geometries = extract_geometries(feature_collection)
    print(geometries)