[2]:

import geopandas as gpd

buildings = gpd.read_parquet('./../data/platform/buildings.parquet').rename(columns={
    'building_area' : 'footprint_area',
    'storeys_count' : 'number_of_floors',
    'population_balanced': 'population',
})[['geometry', 'is_living', 'footprint_area', 'number_of_floors', 'population', 'living_area']]
buildings.head()

[2]:

	geometry	is_living	footprint_area	number_of_floors	population	living_area
0	POLYGON ((26319.490 6682759.262, 26315.099 668...	True	95.155945	1.0	3	66.609161
1	POLYGON ((26247.648 6682735.641, 26255.964 668...	True	97.709000	1.0	0	68.396301
2	POLYGON ((25121.683 6682189.882, 25110.493 668...	True	706.651001	20.0	144	9893.114260
3	POLYGON ((25099.575 6681917.845, 25097.969 668...	True	721.190125	25.0	235	12620.827100
4	POLYGON ((25138.368 6681976.699, 25150.524 668...	True	1543.230220	21.0	337	22685.484400

Buildings

[3]:

from blocksnet.preprocessing.imputing import impute_buildings

buildings = impute_buildings(buildings)

2025-03-22 14:41:29.375 | WARNING  | blocksnet.preprocessing.imputing.buildings.schemas:_before_validate:21 - Column build_floor_area not found and will be initialized as None
2025-03-22 14:41:29.375 | WARNING  | blocksnet.preprocessing.imputing.buildings.schemas:_before_validate:21 - Column non_living_area not found and will be initialized as None

[4]:

buildings.head()

[4]:

	geometry	is_living	number_of_floors	footprint_area	build_floor_area	living_area	non_living_area	population
0	POLYGON ((26319.490 6682759.262, 26315.099 668...	True	1.0	95.155945	95.155945	66.609161	28.546783	3.0
1	POLYGON ((26247.648 6682735.641, 26255.964 668...	True	1.0	97.709000	97.709000	68.396301	29.312698	3.0
2	POLYGON ((25121.683 6682189.882, 25110.493 668...	True	20.0	706.651001	14133.020020	9893.114260	4239.905760	144.0
3	POLYGON ((25099.575 6681917.845, 25097.969 668...	True	25.0	721.190125	18029.753125	12620.827100	5408.926025	235.0
4	POLYGON ((25138.368 6681976.699, 25150.524 668...	True	21.0	1543.230220	32407.834620	22685.484400	9722.350220	337.0

[5]:

buildings[buildings.population>0].plot('population', cmap='RdYlGn', figsize=(10,10)).set_axis_off()

../../_images/examples_preprocessing_imputing_4_0.png

Services

[8]:

services = gpd.read_parquet('./../data/platform/school.parquet')
services.head()

[8]:

	geometry	capacity
0	MULTIPOLYGON (((20052.971 6681274.597, 20064.0...	448
1	MULTIPOLYGON (((11237.313 6677237.236, 11255.6...	698
2	MULTIPOLYGON (((20636.615 6680834.563, 20659.2...	2126
3	MULTIPOLYGON (((-14715.947 6676494.498, -14711...	1719
4	MULTIPOLYGON (((-15507.145 6677446.344, -15490...	735