Visualizing sparse gridded data sets

被引:10
|
作者
Djurcilov, S [1 ]
Pang, A [1 ]
机构
[1] Univ Calif Santa Cruz, Dept Comp Sci, Santa Cruz, CA 95064 USA
基金
美国国家航空航天局;
关键词
D O I
10.1109/38.865880
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Some of the challenges inherent in handling sparse gridded data and showed some common methods in visualizing data sets are presented. Sparseness is suggested as an alternative to simply ignoring the missing point data sets to be blended into the visualization by creating openings in the final rendering. The method uses neighborhood information to smooth out the visual appearance of a grainy isosurface.
引用
收藏
页码:52 / 57
页数:6
相关论文
共 50 条
  • [11] Investigating uncertainties in global gridded data sets of climate extremes
    Dunn, R. J. H.
    Donat, M. G.
    Alexander, L. V.
    CLIMATE OF THE PAST, 2014, 10 (06) : 2171 - 2199
  • [12] Navigating and visualizing three-dimensional data sets
    John, NW
    McCloy, RF
    BRITISH JOURNAL OF RADIOLOGY, 2004, 77 : S108 - S113
  • [13] Stochastic temporal disaggregation of monthly precipitation for regional gridded data sets
    Thober, Stephan
    Mai, Juliane
    Zink, Matthias
    Samaniego, Luis
    WATER RESOURCES RESEARCH, 2014, 50 (11) : 8714 - 8735
  • [14] Mesh modelling for sparse image data sets
    Coleman, SA
    Scotney, BW
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 2321 - 2324
  • [15] Default clustering from sparse data sets
    Velcin, J
    Canascia, JG
    SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS, 2005, 3571 : 968 - 979
  • [16] Sparse regression for large data sets with outliers
    Bottmer, Lea
    Croux, Christophe
    Wilms, Ines
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 297 (02) : 782 - 794
  • [17] Collaborative filtering algorithm for sparse data sets
    Dong, Li
    Xing, Chunxiao
    Wang, Kehong
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2009, 49 (10): : 1725 - 1728
  • [18] Voyager: An Interactive Software for Visualizing Large, Geospatial Data Sets
    Anderson, John C.
    Andres, Jose M.
    Davis, McKay
    Fujiwara, Kayo
    Fang, Tie
    Nedbal, Michael
    MARINE TECHNOLOGY SOCIETY JOURNAL, 2010, 44 (04) : 8 - 19
  • [19] Violin SuperPlots: visualizing replicate heterogeneity in large data sets
    Kenny, Martin
    Schoen, Ingmar
    MOLECULAR BIOLOGY OF THE CELL, 2021, 32 (15) : 1333 - 1334
  • [20] Genome display tool: visualizing features in complex data sets
    Viswanath, Lalitha
    Lu, Yue
    Fox, George E.
    SOURCE CODE FOR BIOLOGY AND MEDICINE, 2007, 2 (01):