Land use share

[1]:

import pandas as pd

blocks_gdf = pd.read_pickle('./../../data/saint_petersburg/blocks.pickle')

[3]:

from blocksnet.analysis.land_use import calculate_land_use_shares

shares = calculate_land_use_shares(blocks_gdf)
shares

[3]:

{<LandUse.RESIDENTIAL: 'residential'>: 0.34010052615024466,
 <LandUse.BUSINESS: 'business'>: 0.023913501244647768,
 <LandUse.RECREATION: 'recreation'>: 0.33809719535789357,
 <LandUse.INDUSTRIAL: 'industrial'>: 0.1097708471465708,
 <LandUse.TRANSPORT: 'transport'>: 0.10303989875606999,
 <LandUse.SPECIAL: 'special'>: 0.027192309702219076,
 <LandUse.AGRICULTURE: 'agriculture'>: 0.05770759144106809}