Searched for: subject:"vario%5C-scale"
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document
van der Maaden, Jippe (author)
LiDAR technologies are used to measure point cloud data of the earth's surface. The usage of LiDAR allows for the fast collections of massive data sets. The AHN2 point cloud data set, part of Rijkswaterstaats initiative to map the surface of the Netherlands, contains 639 478 217 460 points. For efficient visualization in web viewers, these...
master thesis 2019
document
Groeneveld, IJsbrand (author)
The vario-scale concept has proved an alternative for the well known discrete multi-scale solution. However the vario-scale concept is still ongoing research and requires further development e.g. on how to generate better content for vario-scale maps? This research does focus on how to incorporate hydrography networks in the vario-scale solution...
master thesis 2018
document
Meijers, B.M. (author), van Oosterom, P.J.M. (author), Suba, R. (author), Peng, D. (author)
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equal for all scales. Initially only the delete/merge operation was used to create the vario-scale data using the importance and the compatibility functions defined at class level (and evaluated at instance level) to create the tGAP structure with...
journal article 2018
document
Suba, R. (author)
doctoral thesis 2017
document
Xu, Yueqian (author)
This research focuses on a smooth rendering of continuous 2D map based on a smooth 3D vario-scale geographical data structure. A Space Scale Cube (SSC) offers non-redundant geometric data for the different level of details. SSC model represents geographic data as a closed polyhedron, to generate a 2D map; SSC is intersected with the projection...
master thesis 2017
document
Rovers, A (author), Meijers, B.M. (author), van Oosterom, P.J.M. (author)
This paper presents a methodology for using a generic data-driven spatial access method as a communication mechanism for vario-scale data in a server-client setting. As a complete data set is often quite large, it is managed at the server side and supporting different scale levels is important. We show that a generic R-tree like grouping method,...
conference paper 2017
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Huang, L. (author), Ai, Tinghua (author), van Oosterom, P.J.M. (author), Yan, Xiongfeng (author), Yang, Min (author)
The representation of vector data at variable scales has been widely applied in geographic information systems and map-based services. When the scale changes across a wide range, a complex generalization that involves multiple operations is required to transform the data. To present such complex generalization, we proposed a matrix model to...
journal article 2017
document
Rovers, A. (author)
Vario-scale data structures make it possible to derive maps at arbitrary scale. When requesting a map, data has to be transferred from server to client. This takes time, which affects the responsiveness of the system, and sometimes costs can be involved for every byte that is send over the network. Redundant data transfers should thus be avoided...
master thesis 2016
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Suba, R. (author), Meijers, B.M. (author), van Oosterom, P.J.M. (author)
Until now, road network generalization has mainly been applied to the task of generalizing from one fixed source scale to another fixed target scale. These actions result in large differences in content and representation, e.g., a sudden change of the representation of road segments from areas to lines, which may confuse users. Therefore, we aim...
journal article 2016
document
Meijers, B.M. (author), Suba, R. (author), van Oosterom, P.J.M. (author)
Processing massive datasets which are not fitting in the main memory of computer is challenging. This is especially true in the case of map generalization, where the relationships between (nearby) features in the map must be considered. In our case, an automated map generalization process runs offline to produce a dataset suitable for...
conference paper 2015
Searched for: subject:"vario%5C-scale"
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