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Generalized, Inaccurate, Incomplete: How to Comprehensively Analyze Sketch Maps Beyond Their Metric Correctness

Authors Angela Schwering , Jakub Krukar, Charu Manivannan, Malumbo Chipofya, Sahib Jan

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Author Details

Angela Schwering
  • Institute for Geoinformatics, Universität Münster, Germany
Jakub Krukar
  • Institute for Geoinformatics, Universität Münster, Germany
Charu Manivannan
  • Institute for Geoinformatics, Universität Münster, Germany
Malumbo Chipofya
  • ITC, University of Twente, Enschede, The Netherlands
Sahib Jan
  • Independent Researcher, Munich, Germany

Funding

This work has been supported by the German Research Foundation grant SCHW1372/7-3.

Acknowledgements

We thank all supporters of the Sketchmapia project over the last ten years.

Cite As Get BibTex

Angela Schwering, Jakub Krukar, Charu Manivannan, Malumbo Chipofya, and Sahib Jan. Generalized, Inaccurate, Incomplete: How to Comprehensively Analyze Sketch Maps Beyond Their Metric Correctness. In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 8:1-8:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.COSIT.2022.8

Abstract

Sketch mapping is a method to investigate a person’s spatial perception and knowledge about the surrounding environment. While cartographic maps can be easily evaluated with respect to the represented features, map scale, and spatial accuracy, there still does not exist a comprehensive method to evaluate sketch maps. This paper aims to overcome this gap and proposes a sketch map analysis method that allows for analyzing the completeness, generalization and (qualitative) spatial accuracy of the sketched information in a three-step process. After describing the method, we illustrate how our computer-supported method performs in a use case with three sketch maps. Our approach may assist researchers in geography, psychology, and education to evaluate spatial knowledge in a systematic way independent of specific research questions and experimental scenarios.

Subject Classification

ACM Subject Classification
  • Applied computing → Psychology
Keywords
  • sketch map analysis
  • spatial knowledge evaluation
  • cognitive map

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References

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