Multi-scale Categorical Data Bases with Automatic Generalization Transformations Based on Map Algebr...
Multi-scale Categorical Data Bases with Automatic Generalization Transformations Based on Map Algebra
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Publisher
Taylor & Francis Group
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Language
English
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Taylor & Francis Group
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Contents
The problem of generalizing spatial data sets has been studied in the context of categorical data. Map Algebra, a deterministic modeling language, has been chosen as the modeling language for the generalization transformations. The methodology is based on simple basic Map Algebra functions, which are brought together and run as a sequenced batch fi...
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Full title
Multi-scale Categorical Data Bases with Automatic Generalization Transformations Based on Map Algebra
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TN_cdi_gale_infotracgeneralonefile_A53947022
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracgeneralonefile_A53947022
Other Identifiers
ISSN
1050-9844
E-ISSN
2330-9172
DOI
10.1559/152304098782383016
