Development indicators

[1]:

import pandas as pd

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

[2]:

from blocksnet.analysis.indicators import calculate_density_indicators

density_df = calculate_density_indicators(blocks_gdf)
density_df.head()

[2]:

	site_area	footprint_area	build_floor_area	living_area	non_living_area	fsi	gsi	mxi	l	osr	share_living	share_non_living
0	0.032316	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	NaN	NaN	inf	NaN	NaN
1	137101.088247	69.018103	69.018103	0.000000	69.018103	0.000503	0.000503	0.000000	1.000000	1985.451134	0.000000	1.000000
2	95239.084434	5853.863274	6106.759644	4197.188633	1909.571011	0.064120	0.061465	0.687302	1.043202	14.637095	0.716995	0.326207
3	125919.330984	4214.828165	4375.483259	3033.795607	1341.687653	0.034748	0.033472	0.693362	1.038117	27.815100	0.719791	0.318326
4	169860.164494	13392.846325	31242.324144	20860.965881	10381.358263	0.183930	0.078846	0.667715	2.332762	5.008184	1.557620	0.775142

[3]:

from blocksnet.analysis.indicators import calculate_development_indicators

development_df = calculate_development_indicators(density_df)
development_df.head()

[3]:

	site_area	fsi	gsi	mxi	build_floor_area	footprint_area	living_area	non_living_area
0	0.032316	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
1	137101.088247	0.000503	0.000503	0.000000	69.018103	69.018103	0.000000	69.018103
2	95239.084434	0.064120	0.061465	0.687302	6106.759644	5853.863274	4197.188633	1909.571011
3	125919.330984	0.034748	0.033472	0.693362	4375.483259	4214.828165	3033.795607	1341.687653
4	169860.164494	0.183930	0.078846	0.667715	31242.324144	13392.846325	20860.965881	10381.358263

[5]:

blocks_gdf[['geometry']].join(development_df).plot('footprint_area', legend=True, figsize=(10,8)).set_axis_off()

../../../_images/examples_analysis_indicators_development_4_0.png