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Sampling from spatial databases
Proceedings of IEEE 9th International Conference on Data Engineering, 1995This paper deals with techniques for obtaining random point samples from spatial databases. We seek random points from a continuous domain (usually ℝ2) which satisfy a spatial predicate that is represented in the database as a collection of polygons. Several applications of spatial sampling (e.g.
Frank Olken, Doron Rotem, Doron Rotem
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GIS Databases: Spatial and Non-spatial
2019In this chapter, you will learn about the type and management of databases in a GIS environment. After reading this chapter you should be able to understand the following: Types of GIS database—spatial and non-spatial Representation of spatial features of the Earth’s surface by vector and raster data structures (point, line and polygon ...
Ram Babu Singh +2 more
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2007
Spatial database research has continued to advance greatly since three decades ago, addressing the growing data management and analysis needs of spatial applications. This research has produced a taxonomy of models for space, conceptual models, spatial query languages and query processing, spatial file organization and indexes, and spatial data mining.
Gandhi, Vijay +2 more
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Spatial database research has continued to advance greatly since three decades ago, addressing the growing data management and analysis needs of spatial applications. This research has produced a taxonomy of models for space, conceptual models, spatial query languages and query processing, spatial file organization and indexes, and spatial data mining.
Gandhi, Vijay +2 more
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A spatial database as a component of integrated database system
Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496), 2003Huge amounts of spatial data have been accumulated by government agencies and other organizations for various kinds of applications, such as land information management, asset and facility management, resource management, and environment management. These data are typically collected, stored and used by different custodians for very specific purposes ...
Xiaofang Zhou, Maria E. Orlowska
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Efficient Spatial Database Keyword Query Search
, 2020L. Reddy, K. Prema
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Consistency in Spatial Databases
2005During the past several years, traditional databases have been enhanced to include spatially referenced data. Spatial database management (SDBM) systems aim at providing models for the efficient manipulation of data related to space. Such type of manipulation is useful for any type of applications based on large spatial data sets, such as computer ...
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Air Indexes for Spatial Databases
2009SYNONYMS None DEFINITION Air indexes refer to indexes employed in wireless broadcast environments to address scalability issue and to facilitate power saving on mobile devices [3]. To retrieve a data object in wireless broadcast systems, a mobile client has to continuously monitor the broadcast channel until the data arrives. This will consume a lot of
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SODB facilitates comprehensive exploration of spatial omics data
Nature Methods, 2023Zhiyuan Yuan +8 more
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Query Processing in Spatial Databases
2005Spatial data management has been an active area of intensive research for more than two decades. In order to support spatial objects in a database system, several important issues must be taken into account such as spatial data models, indexing mechanisms, and efficient query processing. A spatial database system (SDBS) is a database system that offers
Antonio Corral, Michael Vassilakopoulos
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Integrity Constraints in Spatial Databases
2002This chapter addresses the relationship that exists between the nature of spatial information, spatial relationships, and spatial integrity constraints, and proposes the use of OMT-G (Borges et al., 1999; Borges et al., 2001), an object-oriented data model for geographic applications, at an early stage in the specification of integrity constraints in ...
Alberto H. F. Laender +2 more
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