Centrality

[5]:

from blocksnet import City, Centrality, PopulationCentrality

city = City.from_pickle('../data/model.pickle')

Centrality based on connectivity and services

[6]:

centrality = Centrality(city_model=city)
result = centrality.calculate()

[7]:

result.head()

[7]:

	geometry	connectivity	density	diversity	centrality
id
0	POLYGON ((354918.622 6625258.829, 354901.464 6...	61.7	NaN	NaN	NaN
1	POLYGON ((355412.142 6623378.149, 355411.700 6...	64.4	NaN	NaN	NaN
2	POLYGON ((353934.329 6625429.433, 353923.453 6...	58.0	0.000003	-0.000000	0.036894
3	POLYGON ((355099.099 6623847.765, 355074.808 6...	63.8	0.000010	0.693147	0.211642
4	POLYGON ((352766.168 6621954.748, 352744.412 6...	64.6	0.000001	0.693147	0.212659

[8]:

Centrality.plot(result, figsize=(10,10))

[9]:

centrality = PopulationCentrality(city_model=city)
result = centrality.calculate()

[10]:

result.head()

[10]:

[11]:

PopulationCentrality.plot(result, figsize=(10,10))