Publikation:

RecMap : Rectangular Map Approximations

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2004

Autor:innen

Heilmann, Roland
Panse, Christian
Sips, Mike

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

WARD, Matt, ed. and others. InfoVis 2004 : 10th Anniversary : IEEE Symposium on Information Visualization : proceedings : Austin, Texas, October 10-12, 2004. Piscataway, NJ: IEEE, 2004, pp. 33-40. ISSN 1522-404X. ISBN 978-0-7803-8779-9. Available under: doi: 10.1109/INFVIS.2004.57

Zusammenfassung

In many application domains, data is collected and referenced by its geospatial location. Nowadays, different kinds of maps are used to emphasize the spatial distribution of one or more geospatial attributes. The nature of geospatial statistical data is the highly nonuniform distribution in the real world data sets. This has several impacts on the resulting map visualizations. Classical area maps tend to highlight patterns in large areas, which may, however, be of low importance. Cartographers and geographers used cartograms or value-by-area maps to address this problem long before computers were available. Although many automatic techniques have been developed, most of the value-by-area cartograms are generated manually via human interaction. In this paper, we propose a novel visualization technique for geospatial data sets called RecMap. Our technique approximates a rectangular partition of the (rectangular) display area into a number of map regions preserving important geospatial constraints. It is a fully automatic technique with explicit user control over all exploration constraints within the exploration process. Experiments show that our technique produces visualizations of geospatial data sets, which enhance the discovery of global and local correlations, and demonstrate its performance in a variety of applications.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

IEEE Symposium on Information Visualization, 10. Okt. 2004 - 12. Okt. 2004, Austin, USA
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690HEILMANN, Roland, Daniel A. KEIM, Christian PANSE, Mike SIPS, 2004. RecMap : Rectangular Map Approximations. IEEE Symposium on Information Visualization. Austin, USA, 10. Okt. 2004 - 12. Okt. 2004. In: WARD, Matt, ed. and others. InfoVis 2004 : 10th Anniversary : IEEE Symposium on Information Visualization : proceedings : Austin, Texas, October 10-12, 2004. Piscataway, NJ: IEEE, 2004, pp. 33-40. ISSN 1522-404X. ISBN 978-0-7803-8779-9. Available under: doi: 10.1109/INFVIS.2004.57
BibTex
@inproceedings{Heilmann2004RecMa-40563,
  year={2004},
  doi={10.1109/INFVIS.2004.57},
  title={RecMap : Rectangular Map Approximations},
  isbn={978-0-7803-8779-9},
  issn={1522-404X},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={InfoVis 2004 : 10th Anniversary : IEEE Symposium on Information Visualization : proceedings : Austin, Texas, October 10-12, 2004},
  pages={33--40},
  editor={Ward, Matt},
  author={Heilmann, Roland and Keim, Daniel A. and Panse, Christian and Sips, Mike}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/40563">
    <dc:creator>Keim, Daniel A.</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:abstract xml:lang="eng">In many application domains, data is collected and referenced by its geospatial location. Nowadays, different kinds of maps are used to emphasize the spatial distribution of one or more geospatial attributes. The nature of geospatial statistical data is the highly nonuniform distribution in the real world data sets. This has several impacts on the resulting map visualizations. Classical area maps tend to highlight patterns in large areas, which may, however, be of low importance. Cartographers and geographers used cartograms or value-by-area maps to address this problem long before computers were available. Although many automatic techniques have been developed, most of the value-by-area cartograms are generated manually via human interaction. In this paper, we propose a novel visualization technique for geospatial data sets called RecMap. Our technique approximates a rectangular partition of the (rectangular) display area into a number of map regions preserving important geospatial constraints. It is a fully automatic technique with explicit user control over all exploration constraints within the exploration process. Experiments show that our technique produces visualizations of geospatial data sets, which enhance the discovery of global and local correlations, and demonstrate its performance in a variety of applications.</dcterms:abstract>
    <dc:creator>Panse, Christian</dc:creator>
    <dc:contributor>Heilmann, Roland</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Sips, Mike</dc:creator>
    <dc:contributor>Panse, Christian</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:contributor>Sips, Mike</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-11-10T07:26:03Z</dc:date>
    <dc:creator>Heilmann, Roland</dc:creator>
    <dcterms:issued>2004</dcterms:issued>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-11-10T07:26:03Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>RecMap : Rectangular Map Approximations</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/40563"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen