城市点与路网集成的小比例尺制图综合

Acknowledgements

This work is supported by the Russian Government project 11.G34.31.0053. Data+ Ltd provided the data for this experiment.

References

Ai T and Liu Y, 2002, A method of point cluster simplification with spatial distribution properties preserved,

Acta Geodaetica et Cartographica Sinica, 25(1), 35–41.

Buttenfield BP, Stanislawaski LV and Brewer CA, 2011, Adapting Generalization Tools to Physiographic

Diversity for the USGS National Hydrography Dataset. Cartography and GIS 38(3): 289-301.

Langran CE. and Poiker TK, 1986, Integration of name selection and name placement, Proceedings of 2nd

International Symposium on Spatial Data Handling, pp. 50–64.

Li Z, 2007, Algorithmic Foundation of Multi-Scale Spatial Representation. CRC Press, 2007, 310 c.

Li Z and Choi YH, 2002, Topographic map generalization: association of road elimination with thematic

attributes. The Cartographic Journal, 39(2) 153-166

Mackaness WA and Beard MK, 1993, Use of the graph theory to support map generalization. Cartography and

Geographic Information Systems, 20(4), 210-221

Qian H, Meng L, Wu F and Wang J, 2006, The generalization of point clusters and its quality assessment based

on a polarization approach. Mapping and Image Science, 4, pp. 55-63

Thomson R and Brooks R. 2007, Generalization of Geographical Network. In: W.A. Mackaness, A. Ruas and

L.T. Sarjakoski (Editors), Generalization of Geographic Information: Cartographic Modelling and Applications, pp 255-267.

Touya G, Duchêne C, 2011, Collagen : collaboration between automatic cartographic generalisation processes,

Advances in Cartography and GIScience Vol.1, Selection from ICC'11, Paris, pp 541-558

van Kreveld M, van Oostrum R and Snoeyink, J. (1995) Efficient settlement selection for interactive display, in

Proceedings of Auto Carto 12, Bethesda, MD, pp. 287–296.

Wang Z and Muller JC, 1998. Line Generalization Based on Analysis of Shape, Cartography and Geographic

Information Systems, 25, pp 3-15.

Yan H and Weibel R, 2008, An Algorithm for Point Cluster Generalization Based on the Voronoi

Diagram. Computers & Geosciences, 34(8): 939-954.