(mostly experimental)
Feature | Description |
---|---|
Geocoding | Convert addresses into geographic coordinates (latitude and longitude), enabling applications to find locations or display addresses on maps. |
Reverse Geocoding | Convert geographic coordinates (latitude and longitude) into addresses, allowing applications to determine the location of a point on a map based on its coordinates. |
Routing and Directions | Provide reliable routing and direction services for different modes of transportation (e.g., driving, walking, public transit) with real-time traffic updates, helping users navigate from one location to another efficiently. |
Place Search and Recommendations | Enable users to search for places of interest (e.g., restaurants, hotels, attractions) and receive personalized recommendations based on their preferences and current location, enhancing the discovery of nearby businesses and attractions. |
Distance Matrix | Calculate travel distance and time for a matrix of origins and destinations, providing users with the ability to determine the best route for multiple locations and optimize travel plans. |
First, you need to create an instance of the Index
class:
index = Index()
To calculate the bearing between two latitude-longitude points, you can use the get_bearing
method:
origin = (37.7749, -122.4194)
destination = (34.0522, -118.2437)
bearing = index.get_bearing(origin, destination)
print("Bearing:", bearing)
You can calculate the distance between two points using either Euclidean distance or great-circle distance:
# Euclidean distance
euclidean_distance = index.get_distance(origin, destination, kind='euclidean')
print("Euclidean Distance:", euclidean_distance)
# Great-circle distance
great_circle_distance = index.get_distance(origin, destination, kind='great_circle')
print("Great Circle Distance:", great_circle_distance)
To find the center point between two lat-long points, use the get_center
method:
center_point = index.get_center(origin, destination)
print("Center Point:", center_point)
You can obtain the latitude and longitude of a place name using the geocode
method:
place_name = 'Los Angeles, California'
location = index.geocode(place_name)
print("Location:", location)
To retrieve the street network graph for a place, use the get_graph
method:
place_name = 'Los Angeles, California'
network_type = 'drive' # Options: 'drive', 'walk', 'bike', 'all'
graph = index.get_graph(place_name, network_type)
print("Street Network Graph:", graph)
To find the shortest route between two points on the street network, use the get_shortest_route
method:
origin = (37.7749, -122.4194)
destination = (34.0522, -118.2437)
mode = 'drive' # Options: 'drive', 'walk', 'bike', 'all'
weight = 'length' # Options: 'time', 'length', 'cost', 'speed', 'elevation'
route = index.get_shortest_route(origin, destination, mode, weight)
print("Shortest Route:", route)
You can calculate the road distance between two points by following the roads using the get_road_distance
method:
origin = (37.7749, -122.4194)
destination = (34.0522, -118.2437)
mode = 'drive' # Options: 'drive', 'walk', 'bike', 'all'
weight = 'length' # Options: 'time', 'length', 'cost', 'speed', 'elevation'
road_distance = index.get_road_distance(origin, destination, mode, weight)
print("Road Distance:", road_distance)