Map Specifications and User Requirements

Balley, Sandrine; Baella, Blanca; Christophe, Sidonie; Plá, María Carmen Borrego; Regnauld, Nicolas; Stoter, J.E.

doi:10.1007/978-3-319-00203-3_2

Cited by 10 publications

(6 citation statements)

References 23 publications

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“…Generalization researchers have developed a wealth of theory that readily applies, beyond the reference cartography on which it was mostly developed, to thematic and navigational mapping. Work done on conceptualizing the transformative process of generalization, such as controlling it by a system of constraints [52][53][54][55], or using machine learning and agent-based modeling to drive it [56,57], are easily ported to automated thematic mapping. Measurements of the content of a map and how this can relate to making multiple representations [58][59][60][61] also apply just as easily to thematic maps.…”

Section: Reorder Co Cmentioning

confidence: 99%

A Change of Theme: The Role of Generalization in Thematic Mapping

Raposo

Touya

Bereuter

2020

IJGI

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Cartographic generalization research has focused almost exclusively in recent years on topographic mapping, and has thereby gained an incorrect reputation for having to do only with reference or positional data. The generalization research community needs to broaden its scope to include thematic cartography and geovisualization. Generalization is not new to these areas of cartography, and has in fact always been involved in thematic geographic visualization, despite rarely being acknowledged. We illustrate this involvement with several examples of famous, public-audience thematic maps, noting the generalization procedures involved in drawing each, both across their basemap and thematic layers. We also consider, for each map example we note, which generalization operators were crucial to the formation of the map’s thematic message. The many incremental gains made by the cartographic generalization research community while treating reference data can be brought to bear on thematic cartography in the same way they were used implicitly on the well-known thematic maps we highlight here as examples.

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Section: Reorder Co Cmentioning

confidence: 99%

A Change of Theme: The Role of Generalization in Thematic Mapping

Raposo

Touya

Bereuter

2020

IJGI

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“…This enabled the definition of the constraints that were harmonized and based on expert knowledge intended for capturing NMA specifications across different mapping organizations, universities, and commercial companies in Europe. It aimed at providing a better understanding of the complex generalization process and developing better solutions in the field of automatic generalization, as well as the evaluation of automatic generalization results (Balley et al 2014).…”

Section: Related Workmentioning

confidence: 99%

Verifying and Exploring Settlement Selection Rules and Variables for Small‐Scale Maps Using Decision Tree‐Based Models

Lisiewicz

Karsznia

2020

Geographical Analysis

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In the presented research, the main aim is the assessment of machine learning (ML) techniques usage in the process of acquiring and formalizing generalization rules and variables, understood as settlement features, in settlement generalization. The research specifically addresses the problem of automated settlement selection for 1:1,000,000 scale. We focus on two processes of cartographic knowledge formalization: first, the extraction of semantic and structural knowledge through data enrichment, and second, automated acquisition and application of procedural cartographic knowledge with the use of ML models. This work contributes to extending the toolbox for small‐scale mapping and we concentrate specifically on decision tree‐based models. The main achievements of our research are as follows. First, we verify the existing settlement’s selection rules and variables proposed for 1:1,000,000 detail level by comparing the selection results with the well‐elaborated reference map. Second, with the use of DT‐based models, we make the part of the cartographic knowledge hidden in maps explicit, and show how these models can be used to explore and formulate additional generalization rules and variables important in settlement selection. The research is carried out for the area of Poland but we believe it can be validated and extended to other National Mapping Agencies.

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“…However, cartographic skills are essential to produce correct maps manually, in contrast to automatic map generation. This process is also called "on-demand mapping" and described as automatic derivation of maps tailored to requirements expressed by users [21]. As stated by Armstrong [22], in the traditional map production process, the cartographer serves as the active agent.…”

Section: Background Of Tactile Maps and Automatic Map Generationmentioning

confidence: 99%

Automatic (Tactile) Map Generation—A Systematic Literature Review

Wabínski¹,

Mościcka²

2019

IJGI

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This paper presents a systematic literature review that reflects the current state of research in the field of algorithms and models for map generalization, the existing solutions for automatic (tactile) map generation, as well as good practices for designing spatial databases for the purposes of automatic map development. A total number of over 500 primary studies were screened in order to identify the most relevant research on automatic (tactile) map generation from the last decade. The reviewed papers revealed many existing solutions in the field of automatic map production, as well as algorithms (e.g., Douglas–Peucker, Visvalingam–Whyatt) and models (e.g., GAEL, CartACom) for data generalization that might be used to transform traditional spatial data into the haptic form, suitable for blind and visually impaired people. However, it turns out that a comprehensive solution for automatic tactile map generation does not exist.

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Map Specifications and User Requirements

Cited by 10 publications

References 23 publications

A Change of Theme: The Role of Generalization in Thematic Mapping

A Change of Theme: The Role of Generalization in Thematic Mapping

Verifying and Exploring Settlement Selection Rules and Variables for Small‐Scale Maps Using Decision Tree‐Based Models

Automatic (Tactile) Map Generation—A Systematic Literature Review

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