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Spatially distributed demographics and household data for Wroclaw based on KBR #2

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niedakh wants to merge 3 commits into master from wroclaw-kbr

niedakh commented Apr 2, 2020 •

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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')

niedakh added 3 commits

April 2, 2020 11:42


          spatially distributed demographics and household data

2ae80cb


          lowercase a word in column names

c05670f


          geojson breaks indexing, putting region id in a column

d160727

onomatopeia reviewed

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onomatopeia left a comment

@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

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