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Andreas Reimer

Biographic Data

ID6746310
NAMEAndreas Reimer
GIVEN NAMESAndreas
FAMILY NAMEReimer
SIGNATUREREIMER A
AFFILIATIONSGeometric (India)
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Summarizing classed region maps with a disk choreme

    Open Access•Steven van den Broek, Wouter Meulemans et al.•ARTICLE•International Journal of…•2026

    Chorematic diagrams are highly reduced schematic maps of geospatial data and processes. They can visually summarize complex situations using only a few simple shapes (choremes) placed upon a simplified base map. Due to the extreme reduction of data in chorematic diagrams, they tend to be produced manually; few automated solutions exist. In this paper we consider the algorithmic problem of summarizing classed region maps, such as choropleth or lan…

  • A formal approach to the automated labeling of groups of features

    Andreas Reimer, Arthur van Goethem et al.•ARTICLE•Cartography and Geographic…•2015•References: 1

    A variety of recurring geographic entities form collections of point, line, or area features. Examples are groups of islands (Archipelago), relief features in deserts, periglacial lakes or geomorphological forms, such as drumlins and sinkholes. All these groups of features might be best identified with a single label. Surprisingly, the (automated) labeling of groups of features has received little attention so far. We propose a framework to deter…

  • A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement

    Maxim Rylov, Maxim A Rylov et al.•ARTICLE•Cartographica The International…•2014

    The lettering process, including assigning names to point features, is an essential part of map production. While there have been numerous and varied research efforts to automate point-feature label placement (PFLP), none of them seems to have taken into account the many well-established cartographic precepts for point-feature annotation used by human cartographers. As a result, current fully automated solutions are limited in their expressive po…

No prominent works on this page.

  • A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement

    Maxim Rylov, Maxim A Rylov et al.•ARTICLE•Cartographica The International…•2014

    The lettering process, including assigning names to point features, is an essential part of map production. While there have been numerous and varied research efforts to automate point-feature label placement (PFLP), none of them seems to have taken into account the many well-established cartographic precepts for point-feature annotation used by human cartographers. As a result, current fully automated solutions are limited in their expressive po…

  • A formal approach to the automated labeling of groups of features

    Andreas Reimer, Arthur van Goethem et al.•ARTICLE•Cartography and Geographic…•2015•References: 1

    A variety of recurring geographic entities form collections of point, line, or area features. Examples are groups of islands (Archipelago), relief features in deserts, periglacial lakes or geomorphological forms, such as drumlins and sinkholes. All these groups of features might be best identified with a single label. Surprisingly, the (automated) labeling of groups of features has received little attention so far. We propose a framework to deter…

  • Summarizing classed region maps with a disk choreme

    Open Access•Steven van den Broek, Wouter Meulemans et al.•ARTICLE•International Journal of…•2026

    Chorematic diagrams are highly reduced schematic maps of geospatial data and processes. They can visually summarize complex situations using only a few simple shapes (choremes) placed upon a simplified base map. Due to the extreme reduction of data in chorematic diagrams, they tend to be produced manually; few automated solutions exist. In this paper we consider the algorithmic problem of summarizing classed region maps, such as choropleth or lan…

Artificial Intelligence (2 works) · Computer Science (2 works) · Data Management and Algorithms (2 works) · Feature (linguistics (2 works) · Geographic Information Systems Studies (2 works) · Mathematics (2 works) · Point (geometry (2 works) · Annotation (1 work) · Computational Geometry and Mesh Generation (1 work) · Data mining (1 work)

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