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Auteur Barbara P. Buttenfield |
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Research initiative 3 / Barbara P. Buttenfield (1993)
Titre : Research initiative 3 : multiple representations : closing report Type de document : Rapport Auteurs : Barbara P. Buttenfield, Auteur Editeur : Santa Barbara - Californie [Etats-Unis] : National Center for Geographic Information and Analysis NCGIA Année de publication : 1993 Importance : 25 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] représentation multipleNuméro de notice : 43074 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Rapport Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=42623 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 43074-01 37.10 Livre Centre de documentation Géomatique Disponible Geographic information systems / David Ruxton Fraser Taylor (1991)
Titre : Geographic information systems : the microcomputer and modern cartography Type de document : Monographie Auteurs : David Ruxton Fraser Taylor, Auteur ; Y.C. Lee, Auteur ; D.C. Coll, Auteur ; Donna J. Peuquet, Auteur ; Jean-Philippe Grelot, Auteur ; N.M. Waters, Auteur ; Barbara P. Buttenfield, Auteur ; C. Peter Keller, Auteur ; et al., Auteur Editeur : Oxford [Royaume-Uni] : Pergamon Press Année de publication : 1991 Collection : Modern cartography Importance : 251 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-0-08-040278-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] acquisition de données
[Termes IGN] atlas numérique
[Termes IGN] cartographie automatique
[Termes IGN] logiciel de cartographie
[Termes IGN] micro-ordinateur
[Termes IGN] norme d'échange de données localisées
[Termes IGN] système d'information géographique
[Termes IGN] système de navigation
[Termes IGN] système expertNuméro de notice : 59233 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=60539 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 59233-01 37.30 Livre Centre de documentation Géomatique Disponible 59233-02 37.30 Livre Centre de documentation Géomatique Disponible Design criteria for a cartographic expert system / David M. Mark (1988)Line structure in graphic and geographic space / Barbara P. Buttenfield (1984)
Titre : Line structure in graphic and geographic space Type de document : Thèse/HDR Auteurs : Barbara P. Buttenfield, Auteur Editeur : Seattle : University of Washington Année de publication : 1984 Importance : 303 p. Format : 21 x 30 cm Note générale : Bibliographie
A dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophyLangues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] base de connaissances
[Termes IGN] ligne (géométrie)
[Termes IGN] objet géographique linéaire
[Vedettes matières IGN] GénéralisationIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The research reported in this dissertation has been based on the idea that a cartographic line is a probabilistic representation of the geographic feature which it symbolizes. Numeric parameters have been measured for two orders of structural relationships, and these parameters have been shown to provide significant distinctions between categories of cartographic line structure. The categories which have been developed are not intended as an exhaustive typology of line structure, but rather to demonstrate that meaningful categories of graphic structure can be defined numerically, and statistically verified. Categories for both orders of structure have been summarized graphically, as structure signatures, and digitally, by storing parameters for each category as a computer look-up table. Structure signatures can be applied to cartographic line generalization in several ways which utilize the digital look-up tables. One application involves generating lines of predictable graphic structure, by stochastic modeling techniques. The other application does not serve to generate line structures, but to identify them, to provide a means by which threshold criteria may be automatically set and modified during computer generalization. Line identification proceeds by matching measured parameters against parameters stored in the look—up tables. A possible problem arises when a line is identified which does not match any of the existing structure categories_ An algorithm is presented which has the flexibility to incorporate new structures into an existing knowledge base, in effect, to learn new structures, and to become more proficient in line identification over time. Intelligent algorithms have been developed for pattern recognition by other authors, but the contribution of this research is to provide an intelligent algorithm for a specifically cartographic task, the automated modification of tolerance criteria during line generalization. Note de contenu : Introduction
1. Accuracy in Generalization.
2. Treatment of the Cartographic Line
2.1. The Line as a Set of Equiprobable Points
2.2. The Line as a Linear Feature
2.3. Digression: Peculiarities of Geographic Length
2.4. The Line as an Areal Feature of Finite Width
2.5. The Line as a Spectral Feature
2.6. Digression: Lines of Fractional Dimension
2.7. The Line as a Perceptual Phenomenon
2.8. Summary
3. Components of Line Information
3.1. Recognition and Representation
3.2. Character and Structure in a Probabilistic Context
3.3. A Parametric Definition of Line Structure
4. A Procedural Definition of Line Structure
4.1. The Sample Cartographic Lines
4.2. Three Alternatives for Structural Description
4.3. Justification for the Procedural Description
4.4. Choosing the Measurement Parameters
4.5. Building the Strucutre Signatures
4.6. Signatures for Low Order Structure
4.7. Summary
5. Low and High order structure
5.1. Relationships between Parameters of struture
5.2. Distinctions between Categories and of Lines
5.3. Aspects of MEasuring High Order Structure
5.4. Parameters of High Order Structure
5.5. Classifying Categories of Features
5.6. Summary
6. Working with Cartographic Structure
6.1. Stochastic Modelling of Cartographic Lines
6.2. Computer Identification of Cartographic Lines
6.3. Summary
ConclusionNuméro de notice : 19701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Thèse étrangère Note de thèse : PhD dissertation : Géomatique : Washington : 1984 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82606