OpenStreetMap

  • It is an crowd-sourced dataset
  • It contains data about streets, buildings, services, landuse etc.
  • OSMnx is a package used to retrieve, construct, analyze and visualize street networks from OpenStreetMap and also retrieve data about points of interest such as restaurants, schools and lots of different kind of services.
  • It is also easy to conduct network routing based on walking, cycling or driving by combining OSMnx functionalities with a package called NetworkX

Get Street Network Graph for Tirupathi

import osmnx as ox
import matplotlib.pyplot as plt
place_name = "Tirupathi, Andhra Pradesh, India"
graph = ox.graph_from_place(place_name)
type(graph)
networkx.classes.multidigraph.MultiDiGraph
fig, ax = ox.plot_graph(graph)

nodes, edges = ox.graph_to_gdfs(graph)
nodes.head()
y x street_count geometry
osmid
3726004217 13.626082 79.391887 3 POINT (79.39189 13.62608)
3726082024 13.624080 79.381771 3 POINT (79.38177 13.62408)
3726082625 13.624315 79.383015 3 POINT (79.38302 13.62431)
3726082626 13.624330 79.383098 3 POINT (79.38310 13.62433)
3726082627 13.624499 79.393360 3 POINT (79.39336 13.62450) 
edges.head()
osmid highway oneway reversed length geometry tunnel bridge
u v key
3726004217 3727759169 0 368755785 service False True 102.448 LINESTRING (79.39189 13.62608, 79.39096 13.62589) NaN NaN
3726082692 0 368765668 service True False 11.398 LINESTRING (79.39189 13.62608, 79.39189 13.626... NaN NaN
3726082024 3726082625 0 368755785 service False False 136.948 LINESTRING (79.38177 13.62408, 79.38302 13.62431) NaN NaN
3726082653 0 368765683 service False False 247.024 LINESTRING (79.38177 13.62408, 79.38146 13.625... NaN NaN
3726082625 3726082626 0 368755785 service False False 9.070 LINESTRING (79.38302 13.62431, 79.38310 13.62433) NaN NaN 
area = ox.geocode_to_gdf(place_name)
type(area)
geopandas.geodataframe.GeoDataFrame
area
geometry bbox_north bbox_south bbox_east bbox_west place_id osm_type osm_id lat lon display_name class type importance
0 POLYGON ((79.37901 13.62928, 79.38167 13.62409... 13.634066 13.623569 79.39373 79.379014 191306545 way 369041142 13.626914 79.386643 Sri Venkateshwara Veterinary University, Tirup... amenity university 0.718072 
area.plot()
<AxesSubplot: >

Get Building information

tags = {"building":True}
buildings = ox.geometries_from_place(place_name,tags)
len(buildings)
103
buildings.head()
nodes building geometry layer name ways type
element_type osmid
way 368754138 [3725992120, 3725992118, 3725992325, 372599232... yes POLYGON ((79.38556 13.62655, 79.38560 13.62650... NaN NaN NaN NaN
368765639 [3727711369, 3727711372, 3727711373, 372771137... yes POLYGON ((79.38762 13.62865, 79.38763 13.62865... NaN NaN NaN NaN
368765640 [3726082631, 3726082641, 3726082638, 372608263... yes POLYGON ((79.38655 13.62537, 79.38662 13.62548... NaN NaN NaN NaN
368765641 [3726082662, 3726082681, 3726082697, 372608269... yes POLYGON ((79.38255 13.62598, 79.38244 13.62610... 1 Admin Office (Dr. Y.S.R. Bhavan) NaN NaN
368765644 [3726083018, 3726083020, 3726082991, 372608298... yes POLYGON ((79.38190 13.62782, 79.38196 13.62783... NaN NaN NaN NaN 
buildings.shape
(103, 7)
# List key-value pairs for tags
tags = {"railway":True}
# Retrieve restaurants
railway = ox.geometries_from_place(place_name, tags)

# How many restaurants do we have?
len(railway)
1
fig, ax = plt.subplots(figsize=(12, 8))

# Plot the footprint
area.plot(ax=ax, facecolor="black")

# Plot street edges
edges.plot(ax=ax, linewidth=1, edgecolor="dimgray")

# Plot buildings
buildings.plot(ax=ax, facecolor="silver", alpha=0.7)

# Plot restaurants
railway.plot(ax=ax, color="red", alpha=0.7, markersize=20)
plt.tight_layout()

Get Park Information

tags = {"leisure": "park", "landuse": "grass"}
parks = ox.geometries_from_place(place_name, tags)
print("Retrieved", len(parks), "objects")
Retrieved 5 objects
parks.head(3)
nodes landuse geometry
element_type osmid
way 368765686 [3726082943, 3726082942, 3726082954, 372608295... grass POLYGON ((79.38144 13.62756, 79.38141 13.62755...
368765687 [3726082995, 3726082981, 3726082971, 372608299... grass POLYGON ((79.38149 13.62773, 79.38150 13.62770...
368765688 [3726083023, 3726083010, 3726082983, 372608300... grass POLYGON ((79.38150 13.62785, 79.38152 13.62778... 
parks.plot(color='green')
<AxesSubplot: >

fig, ax = plt.subplots(figsize=(12, 8))

# Plot the footprint
area.plot(ax=ax, facecolor="black")

# Plot the parks
parks.plot(ax=ax, facecolor="green")

# Plot street edges
edges.plot(ax=ax, linewidth=1, edgecolor="dimgray")

# Plot buildings
buildings.plot(ax=ax, facecolor="silver", alpha=0.7)

# Plot restaurants
railway.plot(ax=ax, color="red", alpha=0.7, markersize=20)
plt.tight_layout()