id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-12276	Zhang, Xusong; Rodavia, Maria Rosario	Population Spatialization Based on Convolutional Neural Network and Multi-Source Geospatial Big Data	2023	4	.pdf	application/pdf	2627	112	33	The spatialization of population statistics data can break regional restrictions and achieve the transformation of population data from administrative regions to regular grid forms of population spatial data. Based on the relationship between land use types and population distribution, the method of establishing convolutional neural network models for simulating population spatial distribution is the most widely used.	cache/ajst-12276.pdf	txt/ajst-12276.txt
