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Multiscale Design for The National Map of the United States: Road Thinning for Topographic Mapping
6 references·0 citing·21 second hop
Multiscale Design for The National Map of the United States: Road Thinning for Topographic Mapping (2012)Multiscale Design for The National Map of…Adapting Generalization Tools to Physiographic Diversity for the United States National Hydrography Dataset (2011)Adapting Generalization Tools…Specifying Map Requirements for Automated Generalization of Topographic Data (2009)Specifying Map Requirements f…Mastering map scale: balancing workloads using display and geometry change in multi-scale mapping (2009)Mastering map scale: balancin…Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset (2009)Feature pruning by upstream d…Map projections: A working manual (1987)Map projections: A working ma…The Principles of Selection (1966)The Principles of SelectionGIS and generalization : methodology and practice (1995)GIS and Generalization: Methodology and Practice (1996)Integration of cartographic generalization and multi-scale databases for enhanced web mapping (2003)Automated thinning of road networks and road labels for multiscale design of The National Map of the United States (2013)ScaleMaster 2.0: a ScaleMaster extension to monitor automatic multi-scales generalizations (2013)Generalisation in Practice Within National Mapping Agencies (2014)Generalization in Digital Cartography (1992)Generalisation of Geographic Information: Cartographic Modelling and Applications (2007)Research and development in geo-information generalisation and multiple representation (2009)A typology of operators for maintaining legible map designs at multiple scales (2011)A review and conceptual framework of automated map generalization (1988)GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT (2000)Improving settlement selection for small-scale maps using data enrichment and machine learning (2017)Designing multi-scale maps: lessons learned from existing practices (2020)Algorithms for geodesics (2012)EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets (2012)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Shape-adaptive geometric simplification of heterogeneous line datasets (2017)Geographical Filters and their Inverses* (1969)Cartographic generalization in a digital environment: when and how to generalize (1989)Variable-scale Topological Data Structures Suitable for Progressive Data Transfer: The GAP-face Tree and GAP-edge Forest (2005)
this work references cited by second hop

References

  • 1987Map projections: A working manual1,607 cited
  • 1966The Principles of Selection264 cited
  • 2009Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset61 cited
  • 2009Specifying Map Requirements for Automated Generalization of Topographic Data44 cited
  • 2011Adapting Generalization Tools to Physiographic Diversity for the United States National Hydrography Dataset38 cited
  • 2009Mastering map scale: balancing workloads using display and geometry change in multi-scale mapping34 cited

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