Open AccessBook Chapter10.4018/978-1-59904-951-9.CH042

Spatial Data Warehouse Modelling

- 01 Jan 2006

- pp 659-678

TL;DR: This chapter introduces a novel spatial multidimensional data model for spatial objects with geometry (MuSD Multigranular Spatial Data warehouse), which complies with current standards for spatial data modelling, augmented by data warehousing concepts such as spatial fact, spatial dimension and spatial measure.

Abstract: This chapter is concerned with multidimensional data models for spatial data warehouses. Over the last few years different approaches have been proposed in the literature for modelling multidimensional data with geometric extent. Nevertheless, the definition of a comprehensive and formal data model is still a major research issue. The main contributions of the chapter are twofold: first, it draws a picture of the research area; second it introduces a novel spatial multidimensional data model for spatial objects with geometry (MuSD Multigranular Spatial Data warehouse). MuSD complies with current standards for spatial data modelling, augmented by data warehousing concepts such as spatial fact, spatial dimension and spatial measure. The novelty of the model is the representation of spatial measures at multiple levels of geometric granularity. Besides the representation concepts, the model includes a set of OLAP operators supporting the navigation across dimension and measure levels.

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1. What are the contributions in this paper?

The main contributions of the chapter are twofold: First, it draws a picture of the research area ; second it introduces a novel spatial multidimensional data model for spatial objects with geometry ( MuSD -- multigranular spatial data warehouse ).. The authors refer to this technology as spatial data warehousing, and consider a spatial data warehouse to be a multidimensional database of spatial data.

2. What are the future works in this paper?

Since spatial data are naturally available at different granularities, it seems reasonable to extend the notion of spatial measure to take account of this requirement.

Citations

Journal Article•10.1016/J.CSI.2014.06.004

Conceptual model for spatial data cubes

Kamal Boulil, +2 more

- 01 Feb 2015

- Computer Standards & Interfaces

TL;DR: A new UML (Unified Modeling Language) profile for modelling complex Spatial Data Warehouses and aggregations is proposed and a tool for the automatic implementation of conceptual spatial data cube models, designed using the profile, in a SOLAP architecture is proposed.

...read moreread less

Proceedings Article•10.1109/ICDEW.2007.4401039

Approximate Aggregations in Trajectory Data Warehouses

F Braz, +5 more

- 17 Apr 2007

TL;DR: A novel way to compute an approximate, but nevertheless very accurate, presence aggregate function, which uses only a bounded amount of measures stored in the base cells of the authors' cuboid, and investigates in depth some issues related to the computation of a holistic aggregate function.

...read moreread less

Book Chapter•10.1007/11915072_66

GeWOlap: a web based spatial OLAP proposal

Sandro Bimonte, +3 more

- 29 Oct 2006

TL;DR: This paper presents a GeWOlap, a web based, integrated and extensible GIS-OLAP prototype, able to support geographical measures in the multidimensional data model.

...read moreread less

Journal Article•10.1016/J.IS.2009.10.005

Modelling and querying geographical data warehouses

Joel da Silva, +4 more

- 01 Jul 2010

- Information Systems

TL;DR: The UML class diagram of a GDW metamodel and its formal specifications are discussed and the Geographical Multidimensional Query Language (GeoMDQL) is proposed, based on well-known standards such as the MultiDimensional eXpressions (MDX) language and OGC simple features specification for SQL.

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Proceedings Article•10.1145/1458432.1458438

A set of aggregation functions for spatial measures

Joel da Silva, +5 more

- 30 Oct 2008

TL;DR: A set of aggregation functions for geographic measures are presented and shown in practice, by taking into account their use with a SOLAP architecture prototype, based on a model for Geographic Data Warehouse, a data cube model and a geographic multidimensional query language.

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References

Journal Article•10.1145/248603.248616

An overview of data warehousing and OLAP technology

Surajit Chaudhuri, +1 more

- 01 Mar 1997

TL;DR: An overview of data warehousing and OLAP technologies, with an emphasis on their new requirements, is provided, based on a tutorial presented at the VLDB Conference, 1996.

...read moreread less

•Book

Geographic Information Systems and Science

Paul A. Longley, +3 more

- 01 Jan 2001

TL;DR: The Third Edition of this bestselling textbook has been fully revised and updated to include the latest developments in the field and still retains its accessible format to appeal to a broad range of students.

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2.3K

•Proceedings Article•10.1109/ICDE.2002.994784

Discovering similar multidimensional trajectories

Michail Vlachos, +2 more

- 26 Feb 2002

TL;DR: This work formalizes non-metric similarity functions based on the longest common subsequence (LCSS), which are very robust to noise and furthermore provide an intuitive notion of similarity between trajectories by giving more weight to similar portions of the sequences.

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1.6K

•Book Chapter•10.1007/3-540-56869-7_16

A Small Set of Formal Topological Relationships Suitable for End-User Interaction

Eliseo Clementini, +2 more

- 23 Jun 1993

TL;DR: The first method is an extension of the geometric point-set approach by taking the dimension of the intersections into account, which results in a very large number of different topological relationships for point, line, and area features.

...read moreread less

568

•Journal Article•10.1145/344816.344869

A survey of logical models for OLAP databases

Panos Vassiliadis, +1 more

- 01 Dec 1999

TL;DR: This paper presents different proposals for multidimensional data cubes, which are the basic logical model for OLAP applications, and divides the work in the field in two categories: commercial tools and academic efforts.

...read moreread less

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Spatial Data Warehouse Modelling

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Most frequently asked questions

1. What are the contributions in this paper?

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Citations

Conceptual model for spatial data cubes

Approximate Aggregations in Trajectory Data Warehouses

GeWOlap: a web based spatial OLAP proposal

Modelling and querying geographical data warehouses

A set of aggregation functions for spatial measures

References

An overview of data warehousing and OLAP technology

Geographic Information Systems and Science

Discovering similar multidimensional trajectories

A Small Set of Formal Topological Relationships Suitable for End-User Interaction

A survey of logical models for OLAP databases

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