Automated thinning of road networks and road labels for multiscale design of The National Map of the United States

This paper reports on progress in generalization and selective feature removal for a subset of fundamental base map layers that enables competent mapping through scales ranging from 1:24,000 to 1:1,000,000. Thinning and partitioning methods are applied to road features and labels for The National Map of the United States. Roads are thinned adaptively using the ArcGIS Thin Road Network geoprocessing tool, which removes features by feature hierarchy and network connectivity, yet preserves characteristic urban/rural local density patterns that can be lost through simple category removals. The paper describes thinning for label hierarchies within road categories, improved preference in placement for more important road labels, and selective removal of labels through scale. Use of the Radical Law to guide matches between thinning parameters and suitable scales of representation also is shown. Inspection of graphic results of these treatments can help to establish parameters for automated base map design for US topographic mapping.

[1]  Savino Sandro,et al.  Pattern Recognition and Typification of Ditches , 2011 .

[2]  W. Mackaness,et al.  Rural and Urban Road Network Generalisation: Deriving 1:250,000 from OS MasterMap , 2006 .

[3]  Tinghua Ai,et al.  The Hierarchical Watershed Partitioning and Data Simplification of River Network , 2006 .

[4]  Monika Sester,et al.  AUTOMATIC DETECTION OF PATTERNS IN ROAD NETWORKS – METHODS AND EVALUATION , 2007 .

[5]  E. Lynn Usery,et al.  Assessment of a Rapid Approach for Estimating Catchment Areas for Surface Drainage Lines U.S. Geological Survey Center of Excellence for Geospatial Information Science 1400 Independence Road, Rolla Missouri, 65401 , 2007 .

[6]  Denis Bergmann.  A Synoptic View , 1970 .

[7]  M. Rumor,et al.  DATA ENRICHMENT FOR ROAD GENERALIZATION THROUGH ANALYSIS OF MORPHOLOGY IN THE CARGEN PROJECT , 2010 .

[8]  Bin Jiang,et al.  A Structural Approach to the Model Generalization of an Urban Street Network* , 2004, GeoInformatica.

[9]  Rupert Brooks,et al.  Generalisation of Geographical Networks , 2007 .

[10]  J. E. Stoter,et al.  Generalisation within NMA's in the 21st century , 2005 .

[11]  Guillaume Touya,et al.  A Road Network Selection Process Based on Data Enrichment and Structure Detection , 2010, Trans. GIS.

[12]  F. Töpfer,et al.  The Principles of Selection , 1966 .

[13]  Lawrence V. Stanislawski,et al.  Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset , 2009, Comput. Environ. Urban Syst..

[14]  Moshe Gutman.  Continuous and adaptive cartographic generalization of river networks , 2012 .

[15]  Jantien Stoter,et al.  Specifying Map Requirements for Automated Generalization of Topographic Data , 2009 .

[16]  Monika Sester,et al.  GRAPH BASED APPROACHES FOR RECOGNITION OF PATTERNS AND IMPLICIT INFORMATION IN ROAD NETWORKS , 2005 .

[17]  R. Thomson,et al.  The ‘ Good Continuation ’ Principle of Perceptual Organization applied to the Generalization of Road Networks , 2002 .

[18]  Barbara P. Buttenfield,et al.  Adapting Generalization Tools to Physiographic Diversity for the United States National Hydrography Dataset , 2011 .

[19]  Savino Sandro,et al.  Model Generalization of the Hydrography Network in the CARGEN Project , 2011 .

[20]  John P. Snyder,et al.  Map Projections: A Working Manual , 2012 .

[21]  Robert E. Roth,et al.  A typology of operators for maintaining legible map designs at multiple scales , 2011 .

[22]  Barbara P. Buttenfield,et al.  Mastering map scale: balancing workloads using display and geometry change in multi-scale mapping , 2010, GeoInformatica.

[23]  Barbara P. Buttenfield,et al.  Multiscale Design for The National Map of the United States: Road Thinning for Topographic Mapping , 2012 .

[24]  Qi Zhou,et al.  A comparative study of various strategies to concatenate road segments into strokes for map generalization , 2012, Int. J. Geogr. Inf. Sci..

[25]  Türkay Gökgöz,et al.  A block-based selection method for road network generalization , 2011, Int. J. Digit. Earth.