Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions

Richardson, D.E.; Molenaar, M.

Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions

This dissertation presents a model for spatial and thematic digital generalization. To do so, the development of digital generalization over the last thirty years is first reviewedThe approach to generalization taken in this research differs from other existing works as it tackles the task from a database perspective rather than a representation perspective. Accordingly, a context transformation model is presented that can automatically decrease representation density (the density of objects and object classes appearing on maps) through the application of steering parameters, classification and aggregation hierarchies, and topological data structures.The underlying philosophy in the development has been to provide a user environment with as much flexibility as possible.

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Bibliographic Details
Main Author:	Richardson, D.E.
Other Authors:	Molenaar, M.
Format:	Doctoral thesis biblioteca
Language:	English
Published:	Landbouwuniversiteit Wageningen
Subjects:	geographical information systems, mapping, theory, cartografie, geografische informatiesystemen, theorie,
Online Access:	https://research.wur.nl/en/publications/automated-spatial-and-thematic-generalization-using-a-context-tra
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id	dig-wur-nl-wurpubs-20692
record_format	koha
spelling	dig-wur-nl-wurpubs-206922024-10-23 Richardson, D.E. Molenaar, M. Doctoral thesis Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions 1993 This dissertation presents a model for spatial and thematic digital generalization. To do so, the development of digital generalization over the last thirty years is first reviewedThe approach to generalization taken in this research differs from other existing works as it tackles the task from a database perspective rather than a representation perspective. Accordingly, a context transformation model is presented that can automatically decrease representation density (the density of objects and object classes appearing on maps) through the application of steering parameters, classification and aggregation hierarchies, and topological data structures.The underlying philosophy in the development has been to provide a user environment with as much flexibility as possible. en Landbouwuniversiteit Wageningen application/pdf https://research.wur.nl/en/publications/automated-spatial-and-thematic-generalization-using-a-context-tra 10.18174/202735 https://edepot.wur.nl/202735 geographical information systems mapping theory cartografie geografische informatiesystemen theorie Wageningen University & Research
institution	WUR NL
collection	DSpace
country	Países bajos
countrycode	NL
component	Bibliográfico
access	En linea
databasecode	dig-wur-nl
tag	biblioteca
region	Europa del Oeste
libraryname	WUR Library Netherlands
language	English
topic	geographical information systems mapping theory cartografie geografische informatiesystemen theorie geographical information systems mapping theory cartografie geografische informatiesystemen theorie
spellingShingle	geographical information systems mapping theory cartografie geografische informatiesystemen theorie geographical information systems mapping theory cartografie geografische informatiesystemen theorie Richardson, D.E. Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
description	This dissertation presents a model for spatial and thematic digital generalization. To do so, the development of digital generalization over the last thirty years is first reviewedThe approach to generalization taken in this research differs from other existing works as it tackles the task from a database perspective rather than a representation perspective. Accordingly, a context transformation model is presented that can automatically decrease representation density (the density of objects and object classes appearing on maps) through the application of steering parameters, classification and aggregation hierarchies, and topological data structures.The underlying philosophy in the development has been to provide a user environment with as much flexibility as possible.
author2	Molenaar, M.
author_facet	Molenaar, M. Richardson, D.E.
format	Doctoral thesis
topic_facet	geographical information systems mapping theory cartografie geografische informatiesystemen theorie
author	Richardson, D.E.
author_sort	Richardson, D.E.
title	Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
title_short	Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
title_full	Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
title_fullStr	Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
title_full_unstemmed	Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
title_sort	automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions
publisher	Landbouwuniversiteit Wageningen
url	https://research.wur.nl/en/publications/automated-spatial-and-thematic-generalization-using-a-context-tra
work_keys_str_mv	AT richardsonde automatedspatialandthematicgeneralizationusingacontexttransformationmodelintegratingsteeringparametersclassificationandaggregationhierarchiesreductionfactorsandtopologicalstructuresformultipleabstractions
_version_	1819152386710568960

Automated spatial and thematic generalization using a context transformation model : integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions

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