A framework for characterizing spatio-temporal data models

被引：0
|
作者：
Parent, C [1 ]
机构：
[1] Univ Lausanne, HEC, INFORGE, CH-1015 Lausanne, Switzerland
来源：
ADVANCES IN MULTIMEDIA AND DATABASES FOR THE NEW CENTURY: A SWISS/JAPANESE PERSPECTIVE | 2000年 / 10卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a framework for analyzing and comparing spatio-temporal data models. It focuses on data modeling concepts. The three dimensions of spatio-temporal models, structure, space, and time are described: concepts that are - or should be - supported are defined. The similarity between space and time concepts is emphasized, as well as the importance of orthogonality among the three dimensions. Any structural construct may be spatial and/or temporal, thus allowing to naturally describe moving and deforming objects as well as spatio-temporal continuous fields.
引用
收藏
页码：89 / 98
页数：10
相关论文
共 50 条
  • [1] Additive models with spatio-temporal data
    Fang, Xiangming
    Chan, Kung-Sik
    ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2015, 22 (01) : 61 - 86
  • [2] Additive models with spatio-temporal data
    Xiangming Fang
    Kung-Sik Chan
    Environmental and Ecological Statistics, 2015, 22 : 61 - 86
  • [3] Characterizing global marine heatwaves under a spatio-temporal framework
    Sun, Di
    Jing, Zhao
    Li, Furong
    Wu, Lixin
    PROGRESS IN OCEANOGRAPHY, 2023, 211
  • [4] STIFF: A forecasting framework for spatio-temporal data
    Li, ZG
    Dunham, MH
    Xia, YQ
    MINING MULTIMEDIA AND COMPLEX DATA, 2003, 2797 : 183 - 198
  • [5] A spatio-temporal framework for managing archeological data
    Belussi, Alberto
    Migliorini, Sara
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2017, 80 (3-4) : 175 - 218
  • [6] A spatio-temporal framework for managing archeological data
    Alberto Belussi
    Sara Migliorini
    Annals of Mathematics and Artificial Intelligence, 2017, 80 : 175 - 218
  • [7] A Context-aware Framework for ML Models on Spatio-temporal Data Streams
    Elmamooz, Golnaz
    2021 22ND IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2021), 2021, : 261 - 263
  • [8] Dynamic spatio-temporal models for spatial data
    Hefley, Trevor J.
    Hooten, Mevin B.
    Hanks, Ephraim M.
    Russell, Robin E.
    Walsh, Daniel P.
    SPATIAL STATISTICS, 2017, 20 : 206 - 220
  • [9] Editorial: Spatio-temporal data models and languages
    Spaccapietra, S
    GEOINFORMATICA, 2001, 5 (01) : 5 - 9
  • [10] Editorial: Spatio-Temporal Data Models and Languages
    Stefano Spaccapietra
    GeoInformatica, 2001, 5 : 5 - 9
12345