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A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement
16 references·9 citing·32 second hop
A Comprehensive Multi-criteria Model for High Cartographic Quality Point-Feature Label Placement (2014)A Comprehensive Multi-criteria Model for …Designing Better Maps: A Guide for GIS Users (2016)Designing Better Maps: A Guid…Journal of Spatial Information Science (2011)Journal of Spatial Informatio…OpenStreetMap: Using and Enhancing the Free Map of the World (2010)OpenStreetMap: Using and Enha…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…Citizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…Developments in Spatial Data Handling (2005)Developments in Spatial Data …Proceedings of Auto Carto 11 (1993)Proceedings of Auto Carto 11An Algorithm for Automatic Name Placement Around Point Data (1982)An Algorithm for Automatic Na…The Computer in Contemporary Cartography (1981)The Computer in Contemporary …Positioning Names on Maps (1975)Positioning Names on MapsCartographic Design and Production (1975)Cartographic Design and Produ…Cartographic Design and Production (1974)Cartographic Design and Produ…Thematische Kartographie (1972)Thematische KartographieThe Logic of Automated Map Lettering (1972)The Logic of Automated Map Le…INTERNATIONAL YEAR BOOK OF CARTOGRAPHY (1962)INTERNATIONAL YEAR BOOK OF CA…Elements of Cartography (1953)Elements of CartographyMachine learning in cartography (2024)Machine learning in cartograp…A feasibility study of applying generative deep learning models for map labeling (2024)A feasibility study of applyi…Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions (2022)Label Placement Challenges in…Multi-Criteria Geographic Analysis for Automated Cartographic Generalization (2021)Multi-Criteria Geographic Ana…A parallel annotation placement method for dense point of interest labels using hexagonal grid (2020)A parallel annotation placeme…Fifty shades of Roboto: Text Design Choices and Categories in Multi-Scale Maps (2019)Fifty shades of Roboto: Text …Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda (2018)Automatic derivation of on-de…Improving label placement quality by considering basemap detail with a raster-based approach (2014)Improving label placement qua…A Practical Algorithm for the External Annotation of Area Features (2014)A Practical Algorithm for the…The world is flat: a brief history of the twenty-first century (2006)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Many Volunteers Does it Take to Map an Area Well? 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References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 1953Elements of Cartography842 cited
  • 2011Journal of Spatial Information Science457 cited
  • 1975Positioning Names on Maps284 cited
  • 1993Proceedings of Auto Carto 11271 cited
  • 2016Designing Better Maps: A Guide for GIS Users176 cited
  • 2005Developments in Spatial Data Handling174 cited
  • 2010OpenStreetMap: Using and Enhancing the Free Map of the World173 cited
  • 1962INTERNATIONAL YEAR BOOK OF CARTOGRAPHY168 cited
  • 1972The Logic of Automated Map Lettering136 cited
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  • 1982An Algorithm for Automatic Name Placement Around Point Data116 cited
  • 1972Thematische Kartographie75 cited
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  • 1981The Computer in Contemporary Cartography44 cited

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  • 2024

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Machine learning in cartography
32 cited
  • 2018Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda26 cited
  • 2022Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions23 cited
  • 2014A Practical Algorithm for the External Annotation of Area Features20 cited
  • 2014Improving label placement quality by considering basemap detail with a raster-based approach18 cited
  • 2024A feasibility study of applying generative deep learning models for map labeling10 cited
  • 2020A parallel annotation placement method for dense point of interest labels using hexagonal grid8 cited
  • 2021Multi-Criteria Geographic Analysis for Automated Cartographic Generalization8 cited
  • 2019Fifty shades of Roboto: Text Design Choices and Categories in Multi-Scale Maps4 cited