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Featured researches published by R. Suba.


ISPRS international journal of geo-information | 2016

Continuous Road Network Generalization throughout All Scales

R. Suba; Martijn Meijers; Peter van Oosterom

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 at the continuous generalization of a road network for the whole range, from the large scale, where roads are represented as areas, to mid- and small scales, where roads are represented progressively more frequently as lines. As a consequence of this process, there is an intermediate scale range where at the same time some roads will be represented as areas, while others will be represented as lines. We propose a new data model together with a specific data structure where for all map objects, a range of valid map scales is stored. This model is based on the integrated and explicit representation of: (1) a planar area partition; and (2) a linear road network. This enables the generalization process to include the knowledge and understanding of a linear network. This paper further discusses the actual generalization options and algorithms for populating this data structure with high quality vario-scale cartographic content.


Archive | 2014

Data Structures for Continuous Generalisation: tGAP and SSC

Peter van Oosterom; Martijn Meijers; J.E. Stoter; R. Suba

Spatial zoom and thematic navigation are indispensable functionalities for digital web and mobile maps. Therefore, recent map generalisation research has introduced the first truly smooth vario-scale structure (after several near vario-scale representations), which supports continuous or smooth zooming. In the implementation, the vario-scale representation of 2D geo-information can be stored as a single 3D (2D+scale) data structure. A single uniform scale map in 2D is then derived by computing a horizontal slice through the structure.


agile conference | 2014

An Area Merge Operation for Smooth Zooming

R. Suba; Martijn Meijers; Lina Huang; Peter van Oosterom

When zooming a digital map it is often necessary that two or more area features must be merged. If this is done abruptly, it leads to big changes in geometry, perceived by the user as a “jump” on the screen. To obtain a gradual merge of two input objects to one output object this chapter presents three algorithms to construct a corresponding 3D geometry that may be used for the user’s smooth zooming operations. This is based on the assumption that every feature in the map is represented in 3D, where the 2D coordinates are the original representation, and 1D represents the scale as a Z value. Smooth zooming in or out is thus equivalent to the vertical movement of a horizontal slice plane (downwards or upwards).


Isprs Journal of Photogrammetry and Remote Sensing | 2016

Engineering web maps with gradual content zoom based on streaming vector data

Lina Huang; Martijn Meijers; R. Suba; Peter van Oosterom


16th ICA Workshop on Generalisation and Multiple Representation, Dresden, Germany, 23-24 August 2013 | 2013

2D vario-scale representations based on real 3D structure

R. Suba; B.M. Meijers; P.J.M. Van Oosterom


18th ICA Workshop on Generalisation and Multiple Representation, Rio de Janeiro, Brazil, 21 August 2015 | 2015

Large scale road network generalization for vario-scale map

R. Suba; B.M. Meijers; P.J.M. van Oosterom


ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2018

TOWARDS A SCALE DEPENDENT FRAMEWORK FOR CREATING VARIO-SCALE MAPS

Martijn Meijers; P.J.M. van Oosterom; R. Suba; D. Peng


Geo-Info | 2017

Wegennetwerken in vario-schaal structuren

R. Suba; B.M. Meijers; P.J.M. van Oosterom


Geo-Info | 2017

Eerste bruikbaarheidstesten van vario-schaal kaarten

R. Suba; M.G. Driel; B.M. Meijers; P.J.M. van Oosterom; E. Eisemann


Geo-Info | 2017

Vario-schaal gegevens in een Geoweb context

Lina Huang; B.M. Meijers; R. Suba; P.J.M. van Oosterom

Collaboration


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B.M. Meijers

Delft University of Technology

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Martijn Meijers

Delft University of Technology

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Lina Huang

Delft University of Technology

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P.J.M. van Oosterom

Delft University of Technology

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Peter van Oosterom

Delft University of Technology

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J.E. Stoter

Delft University of Technology

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