There is no way! Ternary qualitative spatial reasoning for error detection in map data

2021 ◽  
Author(s):  
Ivan Majic ◽  
Elham Naghizade ◽  
Stephan Winter ◽  
Martin Tomko
Keyword(s):  
Error Detection ◽  
Spatial Reasoning ◽  
Qualitative Spatial Reasoning ◽  
Map Data

Qualitative Spatial Reasoning

2017 ◽  
pp. 1700-1707
Author(s):  
Reinhard Moratz
Keyword(s):  
Spatial Reasoning ◽  
Qualitative Spatial Reasoning

PLCA

2012 ◽  
pp. 63-96 ◽  
Author(s):  
Kazuko Takahashi
Keyword(s):  
Graph Theory ◽  
Computational Geometry ◽  
Spatial Data ◽  
Qualitative Data ◽  
Spatial Reasoning ◽  
Research Area ◽  
Qualitative Spatial Reasoning ◽  
Research Areas ◽  
Fruitful Research ◽  
Topology Graph

This chapter describes a framework called PLCA for Qualitative Spatial Reasoning (QSR) based on the connection patterns of regions. The goal of this chapter is to provide a simple but expressive and feasible representation for qualitative data with sufficient reasoning ability. PLCA provides a symbolic representation for spatial data using simple objects. The authors of this chapter define its expression and operations on it, and show the correspondance between the expression and a figure. PLCA also provides semantical reasoning incorporated with spatial reasoning. Moreover, it can be extended to handle shapes of regions. Throughout the study, the authors discovered many topics that relate QSR to other research areas such as topology, graph theory, and computational geometry, while achieving the research goals. This indicates that QSR is a very fruitful research area.

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