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Topological Consistent Vector Map Simplification

Topological Consistent Vector Map Simplification Padraig Corcoran, Peter Mooney and Adam Winstanley. Introduction.

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Topological Consistent Vector Map Simplification

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  1. Topological Consistent Vector Map Simplification Padraig Corcoran, Peter Mooney and Adam Winstanley Introduction Geospatial data contains information about the geographic locations of features and their boundaries on the surface of the Earth. When represented in map form an important attribute of such data is that its content and geometric detail may be adapted using a process known as generalization (Jones and Ware 2005). This is a context dependent process where the scale of generalization required can vary greatly. Traditionally generalization was performed manually by cartographers but the growth of Geographical Information Systems (GIS) and an increase in the volume of spatial data has introduced a need for automation. The Internet is fast becoming the most popular medium for obtaining and analysing up-to-date map data. Such tools are commonly referred to as Web-GIS and examples include Google Maps and OpenStreetMap. This growth is being driven in part by a corresponding growth in Location Based Services (LBS) which often involve the downloading of map data usually to mobile devices. The data stored on GIS web-servers generally represents the greastest level of detail available. For web-GIS and LBS applications it is often desirable to reduce the detail of this representation using generalization. Topological Consistent Simplification Determining if two maps are topologically equivalent has been the focus of much research in fields of GIS and computational topology (Egenhofer and Franzosa 1994). In these domains all techniques attempt to determine the following. Given two topological spaces X and Y and two pairs of objects Ax, Bx and Ay, By in X and Y respectively, determine if the topological relation between Ax and Bx is equivalent to the topological relation between Ay and By (Egenhofer and Franzosa 1994). In this context no assumptions apart from identity can be made regarding the relationships between objects in X and Y. This is illustrated in Figure 1(a) where no assumptions regarding the relationships between Ax and Ay or between Bx and By can be made. In the context of determined topological equivalence between successive map simplifications such assumptions can be made. This is illustrated in Figure 1(b) where Y is simplification of X obtained by removing the vertex vi of Ax. Since Ay is simplification of Ax it is a sub-chain of Ax. Also since By is not a simplified version of Bx both objects are equal. Exploiting the existence of such relationships between objects in X and Y has led to the development of a distinct field of research. This exploitation results in techniques which are easier to implement and have significantly less computational complexity. Table 1 presents a summary the of results of all analysis performed in this work. For each technique we indicate if it determines a given simplification is topologically inconsistent with respect to the three types of planar topological relationships. An asterisk indicates that the technique in question can determine the topological consistency without constraint and is optimal. An xi symbol indicates that the technique in question can determine the topological consistency but is subject to some form of constraint and therefore is not optimal. Simplified map - 4,755 vertices. Original map -13,755 vertices. Research presented in this poster was funded by a Strategic Research Cluster Grant (07/SRC/I1168) by Science Foundation Ireland under the National Development Plan. The authors gratefully acknowledge this support.

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