Determining the effects of social–environmental factors on the incidence and mortality of lung cancer in China based on remote sensing and GIS technology during 2007–2016

Table 1 Sources of the data for the independent and dependent variables

Types of data	Indicators	Time periods	Resolutions	Sources
Age-standardized incidence/mortality of lung cancer	Incidence in males	2007–2016	City/county level	China Cancer Registry Annual Report
	Incidence in females
	Mortality in males
	Mortality in females
Air pollutants	PM_2.5	2007–2016	1 km	http://www.geodata.cn/
	PM₁₀	2007–2016	1 km	http://www.geodata.cn/
	NO₂	2007–2012\ 2013–2016	0.25°\ 10 km	https://search.earthdata.nasa.gov/ http://www.geodata.cn/
	SO₂	2007–2012\ 2013–2016	0.25°\ 10 km	https://search.earthdata.nasa.gov/ http://www.geodata.cn/
	O₃	2007–2016	0.25°	https://search.earthdata.nasa.gov/
Meteorological factors	The number of days with blowing sand	2007–2016	City/county level	https://data.cma.cn/
	The number of days with floating dust
	The number of days with haze
	The number of days with sandstorms
	Temperatures			https://www.ncei.noaa.gov/
Natural environmental factors	NDVI	2007–2016	1 km	https://www.resdc.cn/
	Geomorphic type	2009	1 km
	Types of land use	2005\2010\ 2013\2015	30 m
	Terrain undulation (derived from DEM)	2000	30 m	https://search.earthdata.nasa.gov/
Socioeconomic factors	Economic density (GDP per unit area)	2005\2010\ 2015	1 km	https://www.resdc.cn/
	Population density	2005\2010\ 2015	1 km	https://www.resdc.cn/
	Road area	2007–2016	Provincial level	China City Statistical Yearbook
	The number of hospitals
	The number of medical beds
	The number of doctors

ISSN: 1471-2458