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Journal ArticleDOI

Map graphs

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TLDR
An NP characterization is given for planarity, in which two nations of a map are considered adjacent when they share any point of their boundaries (not necessarily an edge, as planarity requires).
Abstract
We consider a modified notion of planarity, in which two nations of a map are considered adjacent when they share any point of their boundaries (not necessarily an edge, as planarity requires). Such adjacencies define a map graph. We give an NP characterization for such graphs, derive some consequences regarding sparsity and coloring, and survey some algorithmic results.

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Book ChapterDOI

Qualitative spatial representation and reasoning

TL;DR: The challenge of qualitative spatial reasoning (QSR) is to provide calculi that allow a machine to represent and reason with spatial entities without resort to the traditional quantitative techniques prevalent in, for example, computer graphics or computer vision communities.
Journal ArticleDOI

The Bidimensionality Theory and Its Algorithmic Applications 1

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Journal ArticleDOI

Fixed-parameter algorithms for (k, r)-center in planar graphs and map graphs

TL;DR: The approach builds on the seminal results of Robertson and Seymour on Graph Minors, and as a result is much more powerful than the previous machinery of Alber et al. for exponential speedup on planar graphs.
Journal ArticleDOI

Minimal Obstructions for 1-Immersions and Hardness of 1-Planarity Testing

TL;DR: It is proved that for every integer , there are at least nonisomorphic minimal non-1-planar graphs of order n and that testing 1-planarity is NP-complete.
Journal ArticleDOI

An annotated bibliography on 1-planarity

TL;DR: The notion of 1-planarity is among the most natural and most studied generalizations of graph planarity as discussed by the authors, and it has driven increasing attention in the areas of graph theory, graph algorithms, graph drawing, and computational geometry.
References
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Journal ArticleDOI

Maintaining knowledge about temporal intervals

TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Journal ArticleDOI

Efficient Planarity Testing

TL;DR: An efficient algorithm to determine whether an arbitrary graph G can be embedded in the plane is described, which used depth-first search and has time and space bounds.
Journal ArticleDOI

String graphs. II.: Recognizing string graphs is NP-hard

TL;DR: It is proved that recognizing string graphs and some related problems are NP-hard.
Proceedings Article

Topological inference

TL;DR: In this paper, the authors study the computational problems involved in developing such an inference system and point out that the problem has two distinct components that interact in rather complex ways: relational consistency, and planarity.
Proceedings ArticleDOI

Recognizing string graphs in NP

TL;DR: It is shown that the recognition problem for string graphs is in NP, and therefore NP-complete, since Kratochvíl showed that the Recognition problem is NP-hard.
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