Towards a General Field model and its order in GIS

被引:51
|
作者
Liu, Y. [1 ,1 ]
Goodchild, M. F. [2 ]
Guo, Q. [3 ]
Tian, Y. [1 ]
Wu, L. [1 ,2 ]
机构
[1] Univ Calif Santa Barbara, Natl Ctr Geog Informat & Anal, Santa Barbara, CA 93106 USA
[2] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
[3] Univ Calif Merced, Sch Engn, Merced, CA 95344 USA
关键词
general field model; order of general field; order-increasing operation; non-order-increasing operation; geographic information system;
D O I
10.1080/13658810701587727
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Geospatial data modelling is dominated by the distinction between continuous-field and discrete-object conceptualizations. However, the boundary between them is not always clear, and the field view is more fundamental in some respects than the object view. By viewing a set of objects as an object field and unifying it with conventional field models, a new concept, the General Field (G-Field) model, is proposed. In this paper, the properties of G-Field models, including domain, range, and categorization, are discussed. As a summary, a descriptive framework for G-Field models is proposed. Then, some common geospatial operations in geographic information systems are reconsidered from the G-Field perspective. The geospatial operations are classified into order-increasing operations and non-order-increasing operations, depending on changes induced in the G-Field's order. Generally, the order can be viewed as an indicator of the level of information extraction of geospatial data. It is thus possible to integrate the concept of order with a geo-workflow management system to support geographic semantics.
引用
收藏
页码:623 / 643
页数:21
相关论文
共 50 条
  • [1] Computer graphics processing technology based on GIS model and its application
    Ji, Quanpeng
    SYSTEMS AND SOFT COMPUTING, 2024, 6
  • [2] Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies
    Bwambale, Erion
    Naangmenyele, Zita
    Iradukunda, Parfait
    Agboka, Komi Mensah
    Houessou-Dossou, Eva A. Y.
    Akansake, Daniel A.
    Bisa, Michael E.
    Hamadou, Abdoul-Aziz H.
    Hakizayezu, Joseph
    Onofua, Oluwaseun Elijah
    Chikabvumbwa, Sylvester R.
    COGENT ENGINEERING, 2022, 9 (01):
  • [3] An integrated approach towards marble waste management: GIS, SFA, and recycling options
    Fawad, Muhammad
    Ullah, Farid
    Shah, Wisal
    Jawad, Muhammad
    Khan, Kifayatullah
    Rashid, Wajid
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (56) : 84460 - 84470
  • [4] An integrated approach towards marble waste management: GIS, SFA, and recycling options
    Muhammad Fawad
    Farid Ullah
    Wisal Shah
    Muhammad Jawad
    Kifayatullah Khan
    Wajid Rashid
    Environmental Science and Pollution Research, 2022, 29 : 84460 - 84470
  • [5] AN EXPLORATORY STUDY OF AWARENESS AND PERCEIVED RELEVANCE OF GIS AMONG GENERAL CONTRACTORS IN THE USA
    Arendt, Anne
    Ilikchyan, Armen
    Warcup, Robert
    JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION, 2019, 24 : 341 - 359
  • [6] The analytic element method and supporting GIS geodatabase model
    Steward, DR
    Le Grand, P
    Bernard, EA
    BOUNDARY ELEMENTS XXVII: INCORPORATING ELECTRICAL ENGINEERING AND ELECTROMAGNETICS, 2005, 39 : 187 - 195
  • [7] A GIS planning model for urban oil spill management
    Li, J
    WATER SCIENCE AND TECHNOLOGY, 2001, 43 (05) : 239 - 244
  • [8] Mapping the Poverty Incidence in Bali and Its Determinants using GIS
    Maharani, Ni Putu Intan
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS), 2021, : 463 - 473
  • [9] A fast recursive GIS algorithm for computing Strahler stream order in braided and nonbraided networks
    Gleyzer, A
    Denisyuk, M
    Rimmer, A
    Salingar, Y
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2004, 40 (04): : 937 - 946
  • [10] Research of GIS-based spatial data mining model
    Wang Jinlin
    Chen Xi
    Zhou Kefa
    Zhang Haibo
    Wang Wei
    WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 159 - 162