2 edition of Automated cartographic generalization with a triangulated spatial model. found in the catalog.
Automated cartographic generalization with a triangulated spatial model.
Geraint Llewellyn Bundy
Written in English
|Contributions||University of Glamorgan.|
Working with 1Spatial, AdV’s ATKIS-Gen Project Group’s cartographic output is 40% faster with automated generalization. The use of location information by business and consumer continues to rise and organisations like national mapping agencies are facing increasing demand for their authoritative geospatial data. Cartographic constraints define spatial and human requirements that a map or a map feature should fulfill,. The constraint-based approach is a shared method used to control and evaluate the automated generalization operations. In this study, buildings are assumed to be rigid bodies trapped within separate partitions during the displacement Cited by:
In map production and generalization, it is inevitable to arise some spatial conflicts, but the detection and resolution of these spatial conflicts still requires manual operation. It is become a bottleneck hindering the development of automated cartographic : Y. Liu, Q. Guo and Y. Sun. This guest article by Nicolas Regnauld, Product Manager at 1Spatial takes a look at automated generalization and how this holy grail has come closer for national mapping and cartographic agencies. For generations, the process of creating lower-resolution and smaller scale products from a single high-resolution data source has been a very labor-intensive process. The automatic recognition method is briefly described as follows. Basic computational models are Delaunay triangulation and Minimum Spanning Trees (MST). The former is a widely used structure in automated generalization to represent spatial proximity between objects and to model contextual knowledge such as orientation and distance relationships.
Automation of Map Generalization—the Cutting-Edge Technology Digital generalization, rooted from conventional cartography, has become an increasing concern in both geographic information system (GIS) and mapping fields. This paper is intended to briefly review the state of the art of the new technology and to help understand the needs and. The automated detection and removal of spatial conflicts remains unsolved in map generalization. There are many methods aiming at this question, but it is still an open question. Several impacts, such as the characteristic of spatial conflict, spatial context and others, should be considered in the process. Based on the idea of causes classification and spatial competition a comprehensive. Operator sequencing in the condition-action model, however, leads to a third problem. Operators have different goals and effects. Hence, when an algorithm is applied to solve a particular cartographic conflict, the algorithm may create other conflicts that have to be solved by subsequent algorithms.
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SyntaxTextGen not activatedpdf Apr 23 Apr A complete solution of cartographic displacement based on elastic pdf model and Delaunay triangulation Y. Liu 1,2, Q. Guo 1,3, and Y. Sun 1 Y. Liu et al. 1 School of Resource and Environment Science, Wuhan University, WuhanChina; 3 School of GeoScience, Yangtze University, WuhanChina; 2 State Key Laboratory of Information Engineering in Author: Y.
G. Liu, Q. S. Guo, Q. S. Guo, Y. G. Sun.A knowledge based genetic algorithm approach to automating cartographic generalisation. Author links open overlay panel J (NMAs) have highlighted automated map generalisation as a research priority. Probably the best example of this is Automated cartographic generalisation with a triangulated spatial model, PhD Thesis, available from Cited by: This report on cartographic generalization addresses the need for the National Ocean Service ebook to select a technical and operational solution to the problem of cartographic generalization within the scope of the Automated Nautical Charting System because of our unique approach to digital nautical cartography.