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Table 1 Description of the spatial variables

From: A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO2 attributable deaths in Milan and Rome, Italy

Variable

Description

Source

Study domain

Milan: 73,415 50 × 50 km2 grid cells

-

Rome: 21,332 250 × 250 km2 grid cells

-

Population

Milan: Resident population in 2019 by census block

Municipality of Milan

Rome: Resident population from census October 2011

ISTAT

Land cover

Land cover characteristics

EEA/Lombardy Region

Roads

Road lengths (meters within the cell) and traffic density by road type: highway, major, secondary, and local. Distance between centroid and the major closest road

TeleAtlas TomTom network/Amat

Traffic signals

Spatial distribution of traffic lights

OSM

Imperviousness surface areas

An indicator of the spatial distribution of artificial areas

EEA—CLMS

Elevation

European Digital Elevation Model EU-DEM

EEA—CLMS

Light at night

Satellite-based night-time imagery

VIIRS—DNB

Sky view factor

Elaboration from Regional Digital Elevation Model

Lombardy Region