Metadata for geo-spatial data sharing: A comparative analysis

被引:14
|
作者
Kim, TJ [1 ]
机构
[1] Univ Illinois, Expert Planning Informat Syst Lab, Champaign, IL 61820 USA
来源
ANNALS OF REGIONAL SCIENCE | 1999年 / 33卷 / 02期
关键词
Comparative Analysis; Real World; Computer Analysis; Spatial Data; Data Producer;
D O I
10.1007/s001680050099
中图分类号
F [经济];
学科分类号
02 ;
摘要
Digital spatial data is an attempt to model and describe the real world for use in computer analysis and graphic display of information. To insure that data is not misused; the assumptions and limitations affecting the collection of the data must be fully documented. As gee-spatial data producers and users handle more and more data, proper documentation will provide them with a keener knowledge of their holdings and allow them to better manage data production, storage, updating and reuse. The need for standards for gee-spatial data becomes, thus, self-explanatory. The objective of the standard is to provide a clear procedure for the description of digital gee-spatial datasets so users will be able to determine whether the data in a holding will be of use to them and how to access the data. One of the important standards in GIS is metadata. Metadata allows a producer to fully describe a dataset so users can understand the assumptions and limitations and evaluate the dataset's applicability for their intended use. A number of metadata are being used or are being proposed worldwide. This paper reviews eight important metadata structures in current use or development in order to develop an alternative simpler, yet inclusive, globally applicable metadata standard.
引用
收藏
页码:171 / 181
页数:11
相关论文
共 50 条
  • [21] Geo-spatial crime analysis using newsfeed data in indian context
    Boppuru P.R.
    Ramesha K.
    International Journal of Web-Based Learning and Teaching Technologies, 2019, 14 (04): : 49 - 64
  • [22] Situation analysis of National Geo-Spatial Data Infrastructure (NGSDI) in Egypt
    Ahmed, Mahmoud Fouad Mahmoud
    WMSCI 2007: 11TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS, 2007, : 217 - 222
  • [23] AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data
    Ghosh, Saheli
    Eldawy, Ahmed
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (08) : 3569 - 3582
  • [24] Pixel based visual data mining of geo-spatial data
    Keim, DA
    Panse, C
    Sips, M
    North, SC
    COMPUTERS & GRAPHICS-UK, 2004, 28 (03): : 327 - 344
  • [25] Geo-spatial Multimedia Sentiment Analysis in Disasters
    Alfarrarjeh, Abdullah
    Agrawal, Sumeet
    Kim, Seon Ho
    Shahabi, Cyrus
    2017 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2017, : 193 - 202
  • [26] A Riemannian Tool for Clustering of Geo-Spatial Multivariate Data
    Álvaro I. Riquelme
    Julian M. Ortiz
    Mathematical Geosciences, 2024, 56 : 121 - 141
  • [27] A Riemannian Tool for Clustering of Geo-Spatial Multivariate Data
    Riquelme, Alvaro I.
    Ortiz, Julian M.
    MATHEMATICAL GEOSCIENCES, 2024, 56 (01) : 121 - 141
  • [28] Design and Construction of the Provincial Geo-Spatial Information Sharing Platform in China
    Chen, Qingtao
    Sun, Shihong
    Deng, Min
    JOURNAL OF COASTAL RESEARCH, 2015, : 614 - 619
  • [29] An algorithm for massive loading of raster geo-spatial data
    Torres, Javier
    Rishe, Naphtali
    Wolfson, Ouri
    Teng, William
    Adjouadi, Malek
    Barreto, Armando
    Steinhoff, Robert
    Williams, Brenton
    Gay, Jatavais
    Cary, Ariel
    3RD INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS, AND APPLICAT/4TH INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 1, 2006, : 11 - 16
  • [30] Environmental and Geo-Spatial Data Analytics (EnGeoData' 2018)
    Teisseire, Maguelonne
    Roche, Mathieu
    Inkpen, Diana
    2018 IEEE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2018, : 575 - 576