Developments in Multidimensional Spatial Data Models

2013 ◽  
Keyword(s):  
Spatial Data ◽  
Data Models ◽  
Spatial Data Models

Logical and Physical Design of Spatial Non-Strict Hierarchies in Relational Spatial Data Warehouse

2019 ◽  
Vol 15 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ferrahi Ibtisam Ibtisam ◽  
Sandro Bimonte ◽  
Kamel Boukhalfa
Keyword(s):  
Spatial Data ◽  
Data Models ◽  
Multidimensional Data ◽  
Bitmap Index ◽  
Spatial Concepts ◽  
Spatial Dimensions ◽  
Spatial Data Models ◽  
Spatial Data Warehouse ◽  
Spatial Hierarchy ◽  
The Cost

The emergence of spatial or geographic data in DW Systems defines new models that support the storage and manipulation of the data. The need to build an SDW and to optimize SOLAP queries continues to attract the interest of researchers in recent years. Several spatial data models have been investigated to extend classical multidimensional data models with spatial concepts. However, most of existing models do not handle a non-strict spatial hierarchy. Moreover, the complexity of the spatial data makes the execution time of spatial queries very considerable. Often, spatial indexation methods are applied to optimizing access to large volumes of data and helps reduce the cost of spatial OLAP queries. Most of existing indexes support predefined spatial hierarchies. The authors show, in this article, that the logical models proposed in the literature and indexing techniques are not suitable to non-strict hierarchies. The authors propose a new logical schema supporting the non-strict hierarchies and a bitmap index to optimize queries defined by spatial dimensions with several non-strict hierarchies.

Slice sampling for simulation based fitting of spatial data models

2005 ◽  
Vol 15 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Deepak K. Agarwal ◽  
Alan E. Gelfand
Keyword(s):  
Spatial Data ◽  
Data Models ◽  
Slice Sampling ◽  
Simulation Based ◽  
Spatial Data Models
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