Cartographic generalization
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Learning Cartographic Building Generalization with Deep Convolutional Neural Networks Open
Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g., simplification, displacement, aggregation)…
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Is deep learning the new agent for map generalization? Open
International audience
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BUILDING GENERALIZATION USING DEEP LEARNING Open
Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, aggregation),…
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Contemporary American cartographic research: a review and prospective Open
We review recent developments in cartographic research in North America, in the context of informing the 29th International Cartographic Conference, and 18th General Assembly in 2019. The titles of papers published since 2015 in four leadi…
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Machine Learning Classification of Buildings for Map Generalization Open
A critical problem in mapping data is the frequent updating of large data sets. To solve this problem, the updating of small-scale data based on large-scale data is very effective. Various map generalization techniques, such as simplificat…
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cartography: Create and Integrate Maps in your R Workflow Open
cartography is an R package (R Core Team ( 2016)) for thematic mapping.It allows various cartographic representations such as proportional symbols, chroropleth, typology, flows or discontinuities.In addition it also proposes some useful fe…
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Improving settlement selection for small-scale maps using data enrichment and machine learning Open
Acquiring and formalizing cartographic knowledge still is a challenge, especially when the generalization process concerns small-scale maps. We concentrate on the settlement selection process for small-scale maps, with the aim of rendering…
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Technology of Spatial Data Geometrical Simplification in Maritime Mobile Information System for Coastal Waters Open
The paper undertakes the subject of spatial data pre-processing for marine mobile information systems. Short review of maritime information systems is given and the focus is laid on mobile systems. The need of spatial data generalization i…
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A cutting-plane method for contiguity-constrained spatial aggregation Open
Aggregating areas into larger regions is a common problem in spatial planning, geographic information science, and cartography. The aim can be to group administrative areal units into electoral districts or sales territories, in which case…
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A New Approach to Line Simplification Based on Image Processing: A Case Study of Water Area Boundaries Open
Line simplification is an important component of map generalization. In recent years, algorithms for line simplification have been widely researched, and most of them are based on vector data. However, with the increasing development of co…
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Contextual Building Selection Based on a Genetic Algorithm in Map Generalization Open
In map generalization, scale reduction and feature symbolization inevitably generate problems of overlapping objects or map congestion. To solve the legibility problem with respect to the generalization of dispersed rural buildings, select…
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Online Map Services: Contemporary Cartography or a New Cartographic Culture? Open
In this paper, online map services are reviewed from a cartographic point of view. The most popular online map services are selected based on worldwide website traffic data, provided by specialized sites, such as Similarweb, in terms of gl…
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Continuous Road Network Generalization throughout All Scales Open
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 c…
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Machine learning in cartography Open
Machine learning is increasingly used as a computing paradigm in cartographic research. In this extended editorial, we provide some background of the papers in the CaGIS special issue Machine Learning in Cartography with a special focus on…
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TriangleConv: A Deep Point Convolutional Network for Recognizing Building Shapes in Map Space Open
The classification and recognition of the shapes of buildings in map space play an important role in spatial cognition, cartographic generalization, and map updating. As buildings in map space are often represented as the vector data, rese…
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A Method for Intelligent Road Network Selection Based on Graph Neural Network Open
As an essential role in cartographic generalization, road network selection produces basic geographic information across map scales. However, the previous selection methods could not simultaneously consider both attribute characteristics a…
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Map Style Formalization: Rendering Techniques Extension for Cartography Open
Cartographic design requires controllable methods and tools to produce maps that are adapted to users' needs and preferences. The formalized rules and constraints for cartographic representation come mainly from the conceptual framework of…
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Depth Contours and Coastline Generalization for Harbour and Approach Nautical Charts Open
Generalization of nautical charts and electronic nautical charts (ENCs) is a critical process which aims at the safety of navigation and clear cartographic presentation. This paper elaborates on the problem of depth contours and coastline …
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A Survey of the Visual Design of Cartographic and Other Elements of Illustrated Tourist Maps Open
The use of tourist maps has become an important part of many people's travel experiences. Design of tourist maps is far from being a straightforward task-requiring the knowledge of cartography, visual design, and visualization. This is par…
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A Collaborative Displacement Approach for Spatial Conflicts in Urban Building Map Generalization Open
Spatial conflicts can remain unresolved during map generalization if only displacement is used, especially for urban building maps. To solve all possible spatial conflicts during urban building map generalization, we propose a collaborativ…
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Recognizing Building Group Patterns in Topographic Maps by Integrating Building Functional and Geometric Information Open
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognitio…
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Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm Open
In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings. However, because such displacem…
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Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models Open
The complexity of a road network must be reduced after a scale change, so that the legibility of the map can be maintained. However, deciding whether to show a particular road section on the map is a very complex process. This process, cal…
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Complexity reduction in choropleth map animations by autocorrelation weighted generalization of time-series data Open
Choropleth map animation is widely used to show the development of spatial processes over time. Although animation congruently depicts change, the rapid succession of complex map scenes easily exceeds the human cognitive capacity, causing …
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A formal model of neighborhood representation and applications in urban building aggregation supported by Delaunay triangulation Open
Neighborhood relationship plays an important role in spatial analysis, map generalization, co-location data mining and other applications. From the perspective of computation, the formal model of neighborhood representation is a challengin…
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A Change of Theme: The Role of Generalization in Thematic Mapping Open
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…
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Experiments to Distribute and Parallelize Map Generalization Processes Open
International audience
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A Novel Evaluation Approach for Line Simplification Algorithms towards Vector Map Visualization Open
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 iss…
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Automated mapping of buildings through classification of DSM-based ortho-images and cartographic enhancement Open
Urban areas are changing rapidly. In order to document the urban realities in topographic databases and geographic information systems efficient methods are required. Vector data of buildings are of special importance. A methodology for an…
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Geological Map Generalization Driven by Size Constraints Open
Geological maps are an important information source used in the support of activities relating to mining, earth resources, hazards, and environmental studies. Owing to the complexity of this particular map type, the process of geological m…