Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models

Table 1 Variables involved in model building

Classification	Variables	Units	Description	Years	Sources
Climatic	Bio2	°C	Mean diurnal temperature range	1970–2000	https://www.worldclim.org/
	Bio4	–	Temperature seasonality
	Bio7	°C	Temperature annual range
	Bio9	°C	Mean temperature of the driest quarter
	Bio14	mm	Precipitation of the driest month
	Bio15	–	Precipitation seasonality (coefficient of variation)
	Bio19	mm	Precipitation of the coldest quarter
	AR	–	Aridity	1950–1990	http://www.resdc.cn/
	AAP	mm	Average annual precipitation	2015
	IM	%	Moisture index	1950–1990
Geographical	Slope	–	Slope from dem	2000	http://www.resdc.cn/
	NDVI	–	Normalized difference vegetation index	2015
	DST	km	Distance to waterway	2016	http://www.worldpop.org
Socioeconomic	HFP	–	Human footprint	1993–2009	http://sedac.ciesin.columbia.edu
	NLI	–	Night light index	2015	http://www.resdc.cn/
	DP	persons/km²	Population density	2015	http://www.worldpop.org

ISSN: 1756-3305