Intelligent cartographic visualization for supporting data exploration in the IRIS system

被引:0
|
作者
Andrienko, GL [1 ]
Andrienko, NV [1 ]
机构
[1] RUSSIAN ACAD SCI,INST MATH PROBLEMS BIOL,PUSHCHINO 142292,MOSCOW OBLAST,RUSSIA
关键词
visualization; geographical information systems (GIS); artificial intelligence systems; data exploration; Internet; WWW; !text type='Java']Java[!/text] programming;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Systems of intelligent data visualization (IDV) that are currently available are able to construct high-quality graphical presentations that adequately take into account the data characteristics. However, these systems do not take account of the objectives of the presentation. Explorative and communicative goals should be distinguished, since the principles of graphics construction are different for these groups of tasks. In systems designed for visualization of territorially related data, peculiarities and restrictions of the cartographic presentation must be taken into account. The IRIS system is designed to support spatial data exploration by means of intelligent cartographic visualization. It provides an opportunity to interactively manipulate graphical presentations and data. The system is implemented under MS Windows and for use on the Internet.
引用
收藏
页码:268 / 281
页数:14
相关论文
共 50 条
  • [31] A visualization system for planning and supporting neurosurgery
    Wang, ZG
    Tang, ZS
    Wang, TM
    Chen, MD
    Liu, D
    Tian, ZM
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN & COMPUTER GRAPHICS, 1999, : 1094 - 1098
  • [32] An exploration of data visualization for inductive modeling
    Chung, HM
    ASSOCIATION FOR INFORMATION SYSTEMS PROCEEDING OF THE AMERICAS CONFERENCE ON INFORMATION SYSTEMS, 1997, : 860 - 860
  • [33] Big Data Exploration, Visualization and Analytics
    Bikakis, Nikos
    Papastefanatos, George
    Papaemmanouil, Olga
    BIG DATA RESEARCH, 2019, 18
  • [34] Facilitating the exploration and visualization of linked data
    Mader, Christian
    Martin, Michael
    Stadler, Claus
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8661 : 90 - 107
  • [35] Distance visualization: Data exploration on the grid
    Foster, I
    Insley, J
    von Laszewski, G
    Kesselman, C
    Thiebaux, M
    COMPUTER, 1999, 32 (12) : 36 - +
  • [36] Intelligent Robotic IoT System (IRIS) Testbed
    Tran, Jason A.
    Ghosh, Pradipta
    Gu, Yutong
    Kim, Richard
    D'Souza, Daniel
    Ayanian, Nora
    Krishnamachari, Bhaskar
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 7961 - 7966
  • [37] DIVE: A Mixed-Initiative System Supporting Integrated Data Exploration Workflows
    Hu, Kevin
    Orghian, Diana
    Hidalgo, Cesar
    HILDA'18: PROCEEDINGS OF THE WORKSHOP ON HUMAN-IN-THE-LOOP DATA ANALYTICS, 2018,
  • [38] Intelligent Visualization System for Big Multi-source Medical Data Based on Data Lake
    Ren, Peng
    Mao, Ziyun
    Li, Shuaibo
    Xiao, Yang
    Ke, Yating
    Yao, Lanyu
    Lan, Hao
    Li, Xin
    Sheng, Ming
    Zhang, Yong
    WEB INFORMATION SYSTEMS AND APPLICATIONS (WISA 2021), 2021, 12999 : 706 - 717
  • [39] Using Data Mining for Learning Path Recommendation and Visualization in an Intelligent Tutoring System
    Jugo, I.
    Kovacic, B.
    Slavuj, V.
    2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 924 - 928
  • [40] Web-enabled Intelligent System for Continuous Sensor Data Processing and Visualization
    Hamza-Lup, Felix G.
    Iacob, Ionut E.
    Khan, Sushmita
    PROCEEDINGS WEB3D 2019: THE 24TH INTERNATIONAL ACM CONFERENCE ON 3D WEB TECHNOLOGY, 2019,