id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
geoplanning-62567	Raha, Shrinwantu; Deb, Sayan	Tourism Potential Zone Mapping Using MCDM and Machine Learning Models in The State of Madhya Pradesh India	2025	28	.pdf	application/pdf	13225	815	54	Factor conditions, including geology, relief, aspect, distance from river, cultural such as density of tourist spots, sex ratio, literacy rate, total population and infrastructural such as road and railway density, distance from road and railway are analyzed through geospatial and socio-economic information, determining areas with high tourism value. Higher tourism potential in any region is boosted by the low aspect (Vijay et al., 2016), moderate to low relief (Li et al., 2024), and closer proximity (small distance) to river water (Maaiah et al., 2023).	cache/geoplanning-62567.pdf	txt/geoplanning-62567.txt