Map generalization in the Web age

Jones, Christopher B.; Ware, J. Mark

doi:10.1080/13658810500161104

Cited by 57 publications

(25 citation statements)

References 22 publications

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“…Instead of downloading only the map refinements required to transform the previously downloaded scale into the new one requested, view-based approaches download the entire dataset corresponding to the required scale. The individual scales of the map in question are computed using map generalization, whose goal is to reduce detail subject to a set of objectives [12]. Topological properties are considered the most important feature of any map and therefore many researchers have developed generalization techniques which produce maps topologically equivalent to the original map [17].…”

Section: View-and Scale-based Progressive Transmissionmentioning

confidence: 99%

View- and Scale-Based Progressive Transmission of Vector Data

Corcoran

Mooney

Bertolotto

et al. 2011

Computational Science and Its Applications - ICCSA 2011

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Abstract.Progressive transmission represents an effective means for the transmission of spatial data over the web. We classify current implementations of this paradigm as either view-or scale-based, which transmit data in a manner which is a function of the required map region or scale respectively. Although many such approaches exist, the concept of one which is both view-and scale-based has received little attention. This can be attributed to the difficulty in maintaining topological equivalence between the transmitted and original map. In this paper we propose a novel methodology for progressive transmission which overcomes this difficulty. Results demonstrate that significant reductions in the amount of data transmitted are achieved when compared to view-and scale-based approaches.

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Section: View-and Scale-based Progressive Transmissionmentioning

confidence: 99%

View- and Scale-Based Progressive Transmission of Vector Data

Corcoran

Mooney

Bertolotto

et al. 2011

Computational Science and Its Applications - ICCSA 2011

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“…Metric constraints perform generalization in a manner which is a function of an error function. Finally, a topological constraint attempts to ensure that the generalization process preserves topological relations between objects [44,50].…”

Section: Map Generalisationmentioning

confidence: 99%

“…The goal of map generalization is to produce a suitable map representation subject to a set of constraints [44]. Weibel [45] identified Gestalt, semantic, metric and topological as four such constraints.…”

Section: Map Generalisationmentioning

confidence: 99%

Spatial Relations Using High Level Concepts

Corcoran

Mooney

Bertolotto

2012

IJGI

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Existing models of spatial relations do not consider that different concepts exist on different levels in a hierarchy and in turn that the spatial relations in a given scene are a function of the specific concepts considered. One approach to determining the existence of a particular spatial relation is to compute the corresponding high level concepts explicitly using map generalization before inferring the existence of the spatial relation in question. We explore this idea through the development of a model of the spatial relation "enters" that may exist between a road and a housing estate.

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“…It is helpful to render a map at the scale corresponding to the zoom size of a region in digital map applications. Cartographic generalization, and in particular line simplification, is an indispensable technique when vector maps are transmitted or re-scaled over the Internet, since large datasets generally lead to longer wait times [1]. The details of a vector map can be gradually removed to generate a set of multi-scale maps by line simplification, which could help to shorten the response time in digital map applications.…”

Section: Introductionmentioning

confidence: 99%

A Novel Evaluation Approach for Line Simplification Algorithms towards Vector Map Visualization

Song

Miao

2016

IJGI

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Abstract:Line simplification is an important method in the context of cartographic generalization, which is helpful for improving the visualization of digital vector maps. The evaluation method for the simplification algorithms is still an open issue when facing applications of vector data, including progressive transmission, web mapping, and so on. This paper proposes a novel evaluation approach for line simplification algorithms based on several factors towards vector map visualization, including the features of displays, map scales, and the ability of the human eye to distinguish pixels. In order to ensure the evaluation of the line simplification algorithms is conducted under the consistent strength of simplification, a measurement approach for the difference between an original line and its simplified one is proposed in this study, and the method of solving the appropriate simplification threshold is presented. With this method, four simplification algorithms are evaluated at five map scales using three evaluation indicators: standard deviation, compression ratio, and simplification time. The experiment and results show the evaluation approach in this study is feasible, and represents a good means in which to facilitate the application of line simplification towards progressive transmission and visualization of vector maps.

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Map generalization in the Web age

Cited by 57 publications

References 22 publications

View- and Scale-Based Progressive Transmission of Vector Data

View- and Scale-Based Progressive Transmission of Vector Data

Spatial Relations Using High Level Concepts

A Novel Evaluation Approach for Line Simplification Algorithms towards Vector Map Visualization

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