Read e-book online Advances in Spatial Data Handling: Geospatial Dynamics, PDF

By Martin Breunig, Edgar Butwilowski, Paul Vincent Kuper (auth.), Sabine Timpf, Patrick Laube (eds.)

ISBN-10: 3642323154

ISBN-13: 9783642323157

ISBN-10: 3642323162

ISBN-13: 9783642323164

This quantity relies at the reviewed and edited lawsuits of the foreign Symposium on Spatial information dealing with 2012, held in Bonn. The fifteenth SDH introduced jointly students and execs from the foreign GIScience group to offer the newest examine achievements and to percentage reports in Geospatial dynamics, geosimulation and exploratory visualization.

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2010), but its use is limited to 2D. Studies have also shown that semantic lensing and/or focus plus context are beneficial for tasks similar to what is being presented here (Baudisch et al. 2002; Kalghatgi et al. 2006). The magnifier is activated by pressing the appropriate button; clicking on the middle button or scroll wheel positions and/or drags the magnifier. The area within the magnifier is enlarged by a factor of two. The amount of zoom will be userdefined in future versions. The underlying visualization continues to be in 3D, and all transformation functions are available, allowing the user to dynamically change the viewing position with the magnifier on.

This is useful not only for noise due to GPS error, but also for “relaxing” the criteria describing movement states. Allowing a constant number of outlier points does not affect the monotonicity of criteria, and thus our greedy strategies are still optimal (in the size of the resulting segmentation). A different approach would be to require that only at least a given percentage of a segment fulfills the given criteria. In this case, segmentation is not anymore monotone (extending to the front may allow extending further to the end).

Sivan and Samet 1992). Queries on road networks have received particular interest (Sankaranarayanan and Samet 2010b) with shortest path finding receiving renewed attention due to applications in spatial network databases such as MapQuest, Google Maps, Yahoo! Maps, Bing Maps, and others. Among these applications, nearest neighbors algorithms (Chen et al. 2009; Demiryurek et al. 2009) require the efficient computation of shortest path distances in spatial networks. However, besides these client applications, shortest path finding has been recently addressed with regards to the efficient encoding of path views.

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Advances in Spatial Data Handling: Geospatial Dynamics, Geosimulation and Exploratory Visualization by Martin Breunig, Edgar Butwilowski, Paul Vincent Kuper (auth.), Sabine Timpf, Patrick Laube (eds.)


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