Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Joint ISPRS/GIS '94 Plenary IV]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: AN OVERVIEW OF THE USE OF QUADTREES AND RELATED HIERARCHICAL DATA STRUCTURES IN GEOGRAPHIC INFORMATION SYSTEMS Hanan Samet

Write comment:: Text parallel in englischer und französischer Sprache abgedruckt.

Document type:: Monograph

Structure type:: Chapter

AN OVERVIEW OF THE USE OF QUADTREES AND RELATED Mas HIERARCHICAL DATA STRUCTURES IN GEOGRAPHIC INFORMATION SYSTEMS Hanan Samet pour la S cette ; », les Department of Computer Science s dans University of Maryland ype de College Park, MD 20742 pixel SA de la U.S.A. ication ssives. iges de jit les a donc ABSTRACT Dn, Sans Representation is an important issue in geographic information systems. A wide number of representations is currently in issue. Recently, there has been much interest in hierarchical data structure such as quadtrees and octrees. They are compact and, depending on the nature of the region, they save space as well as time and also facilitate operations such as search. In this paper we give a brief overview of the quadtree data structure and related research results. Examples will be drawn from a functioning geographic information system that uses the quadtree as the underlying representation. UTILISATION DE LA QUADRIPARTITION ET DES STRUCTURES HIERARCHIQUES CONNEXES DE DONNEES DANS LES SYSTEMES D'INFORMATION GÉOGRAPHIQUE : APERÇU RÉSUMÉ Dans les systèmes. d'information géographique, la représentation est un point d'intérêt important. On se penche actuellement sur un grand nombre de représentations. Ces derniers temps, on s'est beaucoup intéressé aux structures hiérarchiques des données, comme la quadripartition et l'arbre octogonal. Ces structures sont de faible encombrement et, selon la nature de la région, elles permettent d'économiser temps et espace et facilitent certaines opérations, comme la recherche. Dans cette présentation, nous...donnons un .bre£...aperçu* de la quadripartition et des résultats de recherches à ce sujet. Nous illustrons notre propos à l'aide d'exemples de systèmes d'information géographique fonctionnels dont le mode de représentation sous-jacent est la quadripartition. 337

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