This paper presents the first true vario-scale structure for geographic information: a delta in scale leads to a delta in the map (and smaller scale deltas lead to smaller map deltas until and including the infinitesimal small delta) for all scales. The structure is called smooth tGAP and its integrated 2d space and scale representation is stored as a single 3d data structure: space-scale cube (ssc). The polygonal area objects are mapped to polyhedral representations in the smooth tGAP structure. The polyhedral primitive is integrating all scale representations of a single 2d area object. Together all polyhedral primitives form a partition of the space-scale cube: no gaps and no overlaps (in space or scale). Obtaining a single scale map is ...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
Digital earth is a virtual representation of our planet and a data integration platform which aims a...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
This paper presents the first true vario-scale structure for geographic information: a delta in scal...
This paper presents the first true vario-scale structure for geographic information: a delta in scal...
This paper focuses on 3D data structures supporting an alternative approach for creating 2D vario-sc...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
The Space-Scale Cube (SSC) model stores the result of a generalization process, that supports smooth...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
This paper introduces the concept of a space-scale partition, which we term the space-scale cube – a...
This paper introduces the concept of a space-scale partition, which we term the <i>space-scale cube<...
When users zoom out on a digital map, some area objects become too tiny to be seen, resulting in vis...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
This research focuses on a smooth rendering of continuous 2D map based on a smooth 3D vario-scale ge...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
Digital earth is a virtual representation of our planet and a data integration platform which aims a...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
This paper presents the first true vario-scale structure for geographic information: a delta in scal...
This paper presents the first true vario-scale structure for geographic information: a delta in scal...
This paper focuses on 3D data structures supporting an alternative approach for creating 2D vario-sc...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
The Space-Scale Cube (SSC) model stores the result of a generalization process, that supports smooth...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
This paper introduces the concept of a space-scale partition, which we term the space-scale cube – a...
This paper introduces the concept of a space-scale partition, which we term the <i>space-scale cube<...
When users zoom out on a digital map, some area objects become too tiny to be seen, resulting in vis...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
This research focuses on a smooth rendering of continuous 2D map based on a smooth 3D vario-scale ge...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
Digital earth is a virtual representation of our planet and a data integration platform which aims a...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...