id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jmqylozdgrfyrjbdgrrfrh5pmm	Jingzhi Tu	Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models	2020	30	.pdf	application/pdf	10423	1418	63	The building of large-scale Digital Elevation Models (DEMs) using various interpolation algorithms is one of the key issues in geographic information science. a specific scene to build large-scale DEMs. Subjects Distributed and Parallel Computing, Spatial and Geographic Information Systems Keywords Digital elevation model (DEM), Spatial interpolation, Radial basis function (RBF), interpolation algorithms are used to build DEMs, for example, the Shepard's method Shepard's method is to estimate expected values of the interpolation point by weighting and (2) comparing the interpolation accuracy and efficiency when data points are evenly of the presented eight GPU-accelerated interpolation algorithms with different data sets RBF, and Shepard's interpolation method; when the data points are normal distribution, the density and distribution of the data points, the interpolation accuracy order from high to all the interpolation methods are larger than that for the uniformly distributed data points. accuracy when the data points are evenly distributed is higher than the interpolation	./cache/work_jmqylozdgrfyrjbdgrrfrh5pmm.pdf	./txt/work_jmqylozdgrfyrjbdgrrfrh5pmm.txt