Spatially distributed demographics and household data for Wroclaw based on KBR

[niedakh]

New data with detailed Wroclaw demographics and urban functions:

• region_id (INT), KBR region id

• columns:

  • NAME
  • geometry

• urban functions and general demography normalized per city [column sums to 1]

  • % of offices in city
  • % of tradeplaces in city
  • % of households in city
  • % of industry in city
  • % of schools in city
  • % of higher education in city
  • % of inhabitants in city

• inhabitants, normalized per region [sum to 1 per row]

  • % of 0 - 5 inhabitants in region
  • % of 6 - 15 inhabitants in region
  • % of 16 - 19 inhabitants in region
  • % of 20 - 24 inhabitants in region
  • % of 25 - 44 inhabitants in region
  • % of 45 - retirement Age inhabitants in region
  • % of Retirement age inhabitants in region
  • % of retirement age inhabitants in region
  • % of 45 - retirement age inhabitants in region

• inhabitants, normalized per city [sum to 1 per column]

  • % of 0 - 5 inhabitants in city
  • % of 6 - 15 inhabitants in city
  • % of 16 - 19 inhabitants in city
  • % of 20 - 24 inhabitants in city
  • % of 25 - 44 inhabitants in city
  • % of 45 - retirement age inhabitants in city
  • % of retirement age inhabitants in city

To load:

import geopandas as gpd
df=gpd.read_file('Wroclaw_KBR2018_spatially_normalized_demographics_and_urban_poi.geojson')

[onomatopeia]

@niedakh Could you put this nice description into a README.md file in the DW folder? It would be great to have it for future reference