%0 Journal Article %1 journals/gis/LiZLY17 %A Li, Jing %A Zhang, Tong %A Liu, Qing %A Yu, Manzhu %D 2017 %J Int. J. Geogr. Inf. Sci. %K dblp %N 1 %T Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach. %U http://dblp.uni-trier.de/db/journals/gis/gis31.html#LiZLY17 %V 31

@article{journals/gis/LiZLY17, added-at = {2021-11-26T00:00:00.000+0100}, author = {Li, Jing and Zhang, Tong and Liu, Qing and Yu, Manzhu}, biburl = {https://www.bibsonomy.org/bibtex/2693b56921e4ec60965f0693c88c3db7e/dblp}, ee = {https://doi.org/10.1080/13658816.2016.1194424}, interhash = {6c8dd33fe9a665effa4a78c0412e59a2}, intrahash = {693b56921e4ec60965f0693c88c3db7e}, journal = {Int. J. Geogr. Inf. Sci.}, keywords = {dblp}, number = 1, timestamp = {2024-04-08T19:29:04.000+0200}, title = {Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach.}, url = {http://dblp.uni-trier.de/db/journals/gis/gis31.html#LiZLY17}, volume = 31, year = 2017 }