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Document: Thèse/HDR

Semantic infrastructure and methods to support quality evaluation in cartographic generalization / Francisco Brazile (2000)

Public

Titre :	Semantic infrastructure and methods to support quality evaluation in cartographic generalization
Type de document :	Thèse/HDR
Auteurs :	Francisco Brazile, Auteur ; Robert Weibel, Directeur de thèse ; K.E. Brassel, Directeur de thèse
Editeur :	Zurich : Université de Zurich
Année de publication :	2000
Importance :	152 p.
Format :	21 x 30 cm
Note générale :	biblographie Dissertation zur Erlangung der naturwissenschatlichen Doktorwürde vorgelegt des mathematisch-naturwissenschaftlichen Fakultät der Universität Zurich
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données multi-représentation [Termes IGN] évaluation [Termes IGN] généralisation cartographique automatisée
Index. décimale :	THESE Thèses et HDR
Résumé :	(auteur) This dissertation deals fundamentally with analyzing the geographic, communicative, and technical processes involved in generalizing map data for cartographic presentation. Due to the many processes involved, several aspects of generalization are reviewed. The first aspects are those related to the manual tradition of cartography and explore the ways that generalization has been formalized. Tra-ditional cartography and generalization have been thought of as a combination of science and art, and so this study seeks to showcase the boundary between the two. Those aspects which are scientific are then illustrated further through principles of modeling the cartographic process. Aspects of structure recognition and measuring are described in detail, to indicate operational procedures that have been used by cartographers, as well as to indicate the direction for digital systems.' Transformations that are applied during generalization, the so-called generalization operators, are also reviewed. These operators seek to modularize tactical aspects of the generalization process, form the foundation to migrate towards fully automated solutions through human guidance, and in some instances can be applied programmatically. Ultimately, however there are shortfalls in the structuring of the entire generalization process. These shortfalls were addressed by recent research efforts to model the entire process, aiming to create holistic generalization solutions. The pursuit of a holistic generalization framework which could be implemented, at least in part, became the aim of study to be presented in this disserta-tion. A framework was designed that could model the entire strategic aspects of generalization and demonstrate how procedure structuring and ordering could support an automated solution. The framework was also meant to address the problem of providing a common basis for comparison of differing automated generalization approaches. This framework required the analysis of the manual process, the automated methods that were available, and the direction research was taking these methods. One fundamental element to this framework required the development of a system of organizing and limiting the amount of computing that would be required to achieve reasonable so-lutions. This element, partitioning the data by topological methods, required further expansion to demonstrate integration and to show the dependencies such a framework would have on a way to constrain solutions. Through partitioning the data in the proposed manner, strategic level control can be achieved through the generalization process. This control is illustrated via theoretical propositions. Partially in order to demonstrate the feasibility of such a partitioning scheme and also to achieve an under-standing of what is needed to pursue a holistic treatment of geographic map data through basic research, a software system was designed which could implement the partitioning system, as well as basic features of common geographic information systems, such as topology and statistical measures. The results of the implementation show that partitioning as described is feasible and illustrates how partitioning and basic evaluation measures can be integrated. The success of the basic concepts have been reinforced through adoption by a separate, but ongoing applied research project, AGENT, described in the body of the report. Lastly, a philosophical approach towards generalization is discussed that highlights the need to continue to formalize the implicit knowledge held by cartographers, as well as create a system that can be modeled in a theorical way, as to provide rigor to implemented solutions for generalization. A final observation of the nature of data acquisition and updating proposed that future research should also address the entire geographic data handling process as modern systems will no doubt rely on the successful integration of such techniques.
Numéro de notice :	17243
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE/INFORMATIQUE/MATHEMATIQUE
Nature :	Thèse étrangère
Note de thèse :	Dissertation : Mathématiques : Zurich : 2000
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=81628

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
17243-01	THESE	Livre	Centre de documentation	Thèses	Disponible

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