Improving the content of Vario-Scale Maps - An analysis into the generalization of border structures

As the way we interact with maps keeps changing, so do the maps change alongside. And it can be easily pointed out how these changes come alongside a large number of advantages for the average map user, such as quick access to data or the ability to view more or less of the Earth's surface with just a mouse scroll, as well as for specialists...

Vario-scale visualization of the AHN2 point cloud

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...

Generalisation of Hydrography Networks for a Vario-scale Basemap

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...

Construction of a Responsive Web Service for Smooth Rendering of Large SSC Dataset: and the Corresponding Preprocessor for Source Data

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...

Exploring the use of a generic spatial access method for caching and efficient retrieval of vario-scale data in a client-server architecture

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...