An introduction to spatial database systems

Güting, Ralf Hartmut

doi:10.1007/bf01231602

Cited by 468 publications

(219 citation statements)

References 91 publications

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“…Two basic research directions exist aiming at improving efficiency in a Spatial DBMS [4,8,13]. The first direction involves the design of robust spatial data structures and algorithms [2], the second one focuses on the design of clever query optimizers.…”

Section: Introductionmentioning

confidence: 99%

Multiple range query optimization in spatial databases

Papadopoulos

Manolopoulos

1998

Advances in Databases and Information Systems

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Abstract. In order to answer efficiently range queries in 2-d R-trees, first we sort queries by means of a space filling curve, then we group them together, and finally pass them for processing. Initially, we consider grouping of pairs of requests only, and give two algorithms with exponential and linear complexity. Then, we generalize the linear method, grouping more than two requests per group. We evaluate these methods under different LRU buffer sizes, measuring the cache misses per query. We present experimental results based on real and synthetic data. The results show that careful query scheduling can improve substantially the overall performance of multiple range query processing.

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Section: Introductionmentioning

confidence: 99%

Multiple range query optimization in spatial databases

Papadopoulos

Manolopoulos

1998

Advances in Databases and Information Systems

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“…Initial approaches, aimed at supporting advanced data management applications, have recognized that spatial information [15], [24] and temporal information [25], [22], [23], [19] are both crucial. However, those early approaches have dealt with space and time representations separately.…”

Section: Related Workmentioning

confidence: 99%

An Object-Relational Approach to the Representation of Multi-granular Spatio-Temporal Data

Bertino

Cuadra

Martı́nez

2005

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. The notion of spatio-temporal multi-granularity is fundamental when modeling objects in GIS applications in that it supports the representation of the temporal evolutions of these objects. Concepts and issues in multi-granular spatio-temporal representations have been widely investigated by the research community. However, despite the large number of theoretical investigations, no comprehensive approaches, have been proposed dealing with the representation of multi-granular spatio-temporal objects in commercially available DBMSs. The goal of the work that we report in this paper is to address this gap. To achieve it, the paper first introduces an object-relational model based on OpenGis specifications described in SQL3. Several extensions are developed in order to improve the semantics and behavior for spatio-temporal data types introducing an approach to represent the temporal dimension in this model and the multi-representation of spatio-temporal granularities.

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“…If we take a look on the improvements related to database over the course of time, the initial systems held the data as a file base [2] and this file-based storing unnecessarily caused to increase coverage range of the data, hence prevent the data from being used by other applications [3]. File-based data storage has two significant disadvantages; descriptions of the data is contained inside the application programs and there is not any control mechanism associated with data access and data management [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Moving Object Databases-Indexing Algorithms

Ayabakan¹,

Kilimci²

2014

IJCTE

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Abstract-In order to effectively use knowledge -one of the most significant elements of our era; it must be managed well and made useful. Until today, classical databases enabled people to share data, reduce unnecessary data and provide data security, etc. more easily. However, they also lacked to use of spatial and temporal data in a dynamic environment efficiently. The methods which can explain the concept of change in the space regarding time found place among moving object databases. As the concept of space and time region started to find a place in databases, they naturally brought new techniques associated with adding data, deleting data, updating data and performance criterion. The achieved improvements concerning indexing methods in moving object databases, which is a very popular subject, will surely provide enormous benefits to the pertinent technology field.

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An introduction to spatial database systems

Cited by 468 publications

References 91 publications

Multiple range query optimization in spatial databases

Multiple range query optimization in spatial databases

An Object-Relational Approach to the Representation of Multi-granular Spatio-Temporal Data

Moving Object Databases-Indexing Algorithms

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