我正在尝试使用osmnx查找起点(纬度/经度)与最近的基础设施(如铁路,水或公园)之间的距离。
1)我从network_type='walk'
的区域中获取整个图形。
2)获得所需的基础架构,例如同一地区的铁路。
3)将两个图组合成一个。
4)在原始图形中找到距原点最近的节点。
5)在基础结构图中找到距原点最近的节点
6)找到两个节点之间的最短路由长度。
如果运行下面的示例,您将看到它丢失了20%的数据,因为它找不到节点之间的路由。对于infrastructure='way["leisure"~"park"]'
或infrastructure='way["natural"~"wood"]'
,情况更糟,因为80-90%的节点未连接。
最小的可复制示例:
import osmnx as ox
import networkx as nx
bbox = [55.5267243, 55.8467243, 12.4100724, 12.7300724]
g = ox.graph_from_bbox(bbox[0], bbox[1], bbox[2], bbox[3],
retain_all=True,
truncate_by_edge=True,
simplify=False,
network_type='walk')
points = [(55.6790884456018, 12.568493971506154),
(55.6790884456018, 12.568493971506154),
(55.6867418740291, 12.58232314016353),
(55.6867418740291, 12.58232314016353),
(55.6867418740291, 12.58232314016353),
(55.67119624894504, 12.587201455313153),
(55.677406927839506, 12.57651997656002),
(55.6856574907879, 12.590500429002823),
(55.6856574907879, 12.590500429002823),
(55.68465359365924, 12.585474365063224),
(55.68153666806675, 12.582594757267945),
(55.67796979175, 12.583111746311117),
(55.68767346629932, 12.610040871066179),
(55.6830855237578, 12.575431380892427),
(55.68746749645466, 12.589488615911913),
(55.67514254640597, 12.574308210656602),
(55.67812748568291, 12.568454119053886),
(55.67812748568291, 12.568454119053886),
(55.6701733527419, 12.58989203029166),
(55.677700136266616, 12.582800629527789)]
railway = ox.graph_from_bbox(bbox[0], bbox[1], bbox[2], bbox[3],
retain_all=True,
truncate_by_edge=True,
simplify=False,
network_type='walk',
infrastructure='way["railway"]')
g_rail = nx.compose(g, railway)
l_rail = []
for point in points:
nearest_node = ox.get_nearest_node(g, point)
rail_nn = ox.get_nearest_node(railway, point)
if nx.has_path(g_rail, nearest_node, rail_nn):
l_rail.append(nx.shortest_path_length(g_rail, nearest_node, rail_nn, weight='length'))
else:
l_rail.append(-1)
答案 0 :(得分:0)
有两件事引起了我的注意。
OSMNX文档指定ox.graph_from_bbox参数以北,南,东,西(https://osmnx.readthedocs.io/en/stable/osmnx.html)的顺序给出。我之所以这样说是因为当我尝试运行您的代码时,我得到的是空图。
您可能已经知道,参数“ retain_all = True”是关键。设置为true时,即使它们未连接到图中的任何其他节点,它也会保留图中的所有节点。发生这种情况的主要原因是OpenStreetMap的不完整,其中包含自愿提供的地理信息。我建议您设置“ retain_all = False”,这意味着您的图形现在仅包含连接的节点。这样,您将获得一个完整的列表,而不包含任何-1。
我希望这会有所帮助。
g = ox.graph_from_bbox(bbox[1], bbox[0], bbox[3], bbox[2],
retain_all=False,
truncate_by_edge=True,
simplify=False,
network_type='walk')
railway = ox.graph_from_bbox(bbox[1], bbox[0], bbox[3], bbox[2],
retain_all=False,
truncate_by_edge=True,
simplify=False,
network_type='walk',
infrastructure='way["railway"]')
g_rail = nx.compose(g, railway)
l_rail = []
for point in points:
nearest_node = ox.get_nearest_node(g, point)
rail_nn = ox.get_nearest_node(railway, point)
if nx.has_path(g_rail, nearest_node, rail_nn):
l_rail.append(nx.shortest_path_length(g_rail, nearest_node, rail_nn, weight='length'))
else:
l_rail.append(-1)
print(l_rail)
Out[60]:
[7182.002999999995,
7182.002999999995,
5060.562000000002,
5060.562000000002,
5060.562000000002,
6380.099999999999,
7127.429999999996,
4707.014000000001,
4707.014000000001,
5324.400000000003,
6153.250000000002,
6821.213000000002,
8336.863999999998,
6471.305,
4509.258000000001,
5673.294999999996,
6964.213999999994,
6964.213999999994,
6213.673,
6860.350000000001]