Vector model

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Vector models are based on points and lines. A closed line of lines represents an area. Vector models are also called linear models, while raster data represent an area model. In 3-dimensional space, one speaks of the “wire model” ( vector ) versus “volume model” (grid).

definition

Vector models are based on the representation of linear structures through an ordered sequence of points that represent a polygon . The distance between two objects corresponds to the shortest distance between two points. This vector data is particularly suitable for the representation of simple, line-based objects such as streets and rivers. In the grid model regular meshes (areas, height) may be used.

The vector model distinguishes between topological and non-topological data structures. The latter data structures only depict the position and shape of the object (geometry data). Topological vector data also provide information about the spatial relationships between the objects. A topological data model is the "arc-node data model". Individual objects are captured by lines (segments, arcs). The place where two or more segments meet is called a node.

See also

literature

  • J Mitchell, M Lapata: Vector-based Models of Semantic Composition . In: Proceedings of the Conference . tape 46 , no. 1 , 2008, ISSN  0736-587X , OCLC 246934110 , p. 236–244 (English, homepages.inf.ed.ac.uk [PDF] On vector-based models of word meaning in cognitive science).
  • Peter Robineau: Semantics in the vector model. Basics and ideas for modeling and processing with modern information technology. 2010 (diploma thesis).

Web links

Individual evidence

  1. 5.4 - 3: Linear geographic objects ( Memento of the original from November 12, 2016 in the Internet Archive ) Info: The archive link was automatically inserted and not yet checked. Please check the original and archive link according to the instructions and then remove this notice. on tu-bs.de @1@ 2Template: Webachiv / IABot / rzv037.rz.tu-bs.de
  2. vector data . In: Lexicon of Geography . Spectrum Academic Publishing House, Heidelberg 2001 ( Spektrum.de ).