Modeling vague spatial data warehouses using the VSCube conceptual model

Author:

Siqueira Thiago Luís Lopes,Ciferri Cristina Dutra de Aguiar,Times Valéria Cesário,Ciferri Ricardo Rodrigues

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Reference45 articles.

1. Bédard Y, Han J (2009) Fundamentals of spatial data warehousing for geographic knowledge discovery. In: Geographic data mining and knowledge discovery, 2nd. Taylor & Francis

2. Bejaoui L (2009) Qualitative topological relationships for objects with possibly vague shapes: implications on the specification of topological integrity constraints in transactional spatial databases and in spatial data warehouses. PhD Thesis, Université Laval, Québec

3. Bejaoui L, Pinet F, Bédard Y, Schneider M (2009) Qualified topological relations between spatial objects with possible vague shape. IJGIS 23(7):877–921

4. Bejaoui L, Pinet F, Schneider M, Bédard Y (2010) OCL for formal modelling of topological constraints involving regions with broad boundaries. GeoInformatica 14(3):353–378

5. Bimonte S, Kang M-A (2010) Towards a model for the multidimensional analysis of field data. In: ADBIS. pp 111–125

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Logical and Physical Design of Spatial Non-Strict Hierarchies in Relational Spatial Data Warehouse;International Journal of Data Warehousing and Mining;2019-01

2. Queries-based requirements imprecision study for data warehouse update structural approach;Proceedings of the 8th International Conference on Information Systems and Technologies - ICIST '18;2018

3. A Tessellation-Based Methodology for an Interactive Analysis of the Arctic Ice Dynamic Phenomenon with Spatial Online Analytical Processing;Cartographica: The International Journal for Geographic Information and Geovisualization;2016-12

4. An UML Profile and SOLAP Datacubes Multidimensional Schemas Transformation Process for Datacubes Risk-Aware Design;International Journal of Data Warehousing and Mining;2015-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3