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Spatial Reasoning

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Course Unit Code548-0118/03
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *Second Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
RAP30doc. Ing. Petr Rapant, CSc.
Summary
The course deals with the application of methods and procedures of mathematical logic to the area of spatial data. It deals first with an introduction to the problem of reasoning, qualitative representation and reasoning and the issue of the inclusion of space in representation and reasoning.
Learning Outcomes of the Course Unit
The aim of the course is to acquaint students with the basic principles, the subject of study and methods of qualitative spatial reasoning and its application in geosciences. Practically acquired skills allow them to design unconventional approaches to spatial data analysis and use it to find the right solutions to various problems.
Course Contents
1) Overview of spatial reasoning. Logic and deduction. Reasoning
2) Syntax and semantics. Qualitative reasoning
3) Qualitative representation
4) QSR - qualitative spatial reasoning
5) Tools of qualitative spatial reasoning
6) RCC - region connection calculus
7) 4-intersection model. 9-intersection model.
8) Dimensionally extended 9-intersection model
9) Vagueness, uncertainty, granularity and indistinguishability
10) Example of spatial reasoning. Formal notation

Note: The course is taught in the last semester with 10 weeks of teaching.
Recommended or Required Reading
Required Reading:
Shen, J., Zhou, T., & Chen, M.: A 27-Intersection Model for Representing Detailed Topological Relations between Spatial Objects in Two-Dimensional Space. ISPRS International Journal of Geo-Information, 2017, 6(2). https://doi.org/10.3390/ijgi6020037
Duží, M.: Mathematical Logic. Lesons. VŠB-TU Ostrava, 2012. http://www.cs.vsb.cz/duzi/MatLog-English.html
Fadlysiah, M.: Qualitative Reasoning: An Introduction. Univerity of Oslo, 2009. 41 str. http://www.uio.no/studier/emner/matnat/ifi/INF5160/v09/undervisningsmateriale/qualitative_reasoning_intro.pdf
Ligozat, G.: Qualitative Spatial and Temporal Reasoning. John Wiley, 2013. 505 s. https://doi.org/10.1002/9781118601457
Worboys, M., Duckham, M.: GIS: a Computational Perspective. Second Edition. CRC Press, Boca Raton, 2004. 426 str.
Duží, M.: Logika pro informatiky. VŠB-TU Ostrava, 2012. 181 str. http://www.cs.vsb.cz/duzi/Matlogika_ESF_Definite.pdf
Fadlysiah, M.: Qualitative Reasoning: An Introduction. Univerity of Oslo, 2009. 41 str. http://www.uio.no/studier/emner/matnat/ifi/INF5160/v09/undervisningsmateriale/qualitative_reasoning_intro.pdf
Sharma, Jayant: Integrated Spatial Reasoning in Geographic Information System: Combining Topology and Directions. PhD theses, 1996, Maine
Recommended Reading:
Chaudhri, V. K.: CS 227: Knowledge Representation and Reasoning. Stanford University, 2011. http://web.stanford.edu/class/cs227/
Hazarika, S,. M. (ed.): Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions. IGI Global; 1st edition (May 31, 2012). 381 s.
Kordjamshidi, P., Pustejovsky, J., Moens, M-F.: EMNLP-2020 Tutorial - Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks. https://spatial-language-tutorial.github.io/
Izadi, A., Stock. K. M., Guesgen, H. W.: Multidimensional Region Connection Calculus. 30th International Workshop on Qualitative Reasoning Monday, August 21, 2017, Melbourne, Australia. 7 s. https://www.qrg.northwestern.edu/qr2017/papers/QR2017_paper_8.pdf
Chaudhri, V. K.: CS 227: Knowledge Representation and Reasoning. Stanford University, 2011. http://web.stanford.edu/class/cs227/
Hunt, J. E., Lee, M. H., Price, C. J.: Applications of Qualitative Model-Based Reasoning. Control Engineering Practice, 1 (2), pp. 253-256. 1993. http://www.it.iitb.ac.in/~palwencha/mtp/MBR.pdf
Casati, R., and Varzi, A. C.: Parts and places: the structures of spatial representation. MIT Press, 2003. 248 str.
Cohn, A, Bennett, B., Gooday, J., Gotts, N. M.: Quantitative Spatial Representation and reasoning with the Region Connection Calculus. Geoinformatica, vol. 1, 1997. Pp. 1-44. http://www.comp.leeds.ac.uk/qsr/pub/geoinformatica.pdf
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Credit and ExaminationCredit and Examination100 (100)51
        CreditCredit33 17
        ExaminationExamination67 (67)18
                Written part of examWritten examination52 18
                Oral part of examOral examination15 0