548-0926/04 – Spatial Statistics (PST)

Gurantor departmentDepartment of GeoinformaticsCredits10
Subject guarantorprof. Ing. Jiří Horák, Dr.Subject version guarantorprof. Ing. Jiří Horák, Dr.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2020/2021Year of cancellation
Intended for the facultiesHGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 prof. Ing. Jiří Horák, Dr.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

The objective is to develop student’s knowledge of spatial statistics and increase his/her capability to apply advanced methods of spatial statistics in case studies with topics related to the theme of his/her PhD thesis.

Teaching methods

Lectures
Individual consultations

Summary

The course extends knowledge of spatial statistics. It contains explanation of theoretical models for dot spatial distribution, descriptive and inferentional statistical methods for main geometrical forms of representation of spatial objects with both single and multiple investigated phenomena, methods of hot/cold spot detection, spatial distribution optimization methods, methods of assessment of autocorrelation and anizotropy of spatial data, spatial regression models, multivariate techniques for spatial data and spatio-temporal methods.

Compulsory literature:

ROGERSON, P. Statistical methods for geography, 5th ed. SAGE, LA, 2019. 405 s. ISBN 978-1-5264-9880-9 GELFAND A.E., DIGGLE P.J., FUENTES M., GUTTORP P. Handbook of Spatial Statistics. Chapman & Hall/CRC, 2010. SMITH M.J., GOODCHILD M.F., LONGLEY P.A. Geospatial Analysis. 2020. Dostupné na: http://www.spatialanalysisonline.com WHEELER D., SHAW, G., BARR S. Statistical techniques in geographical analysis. New York, 2010. 342 s.

Recommended literature:

LLOYD CH.: Local models for spatial analysis. CRC press. Taylor&Francis, 2011. ISBN 978-1-4398-2919-6 WALKER, J., T., MADDAN, S. Statistics In Criminology And Criminal Justice: Analysis and Interpretation. Jones & Bartlett Learning; 4 edition, 2012. 592 p. ISBN 978-1449688608 O’SULLIVAN, D., UNWIN, D. J. Geographic Information Analysis. Wiley, 2010. 405 s. LEE, J., WONG, D. Statistical analysis with ArcView GIS. USA, Wiley, 2001, 192 s., ISBN 0-471-34874-0.

Way of continuous check of knowledge in the course of semester

Účast na konzultacích, seminární práce, ústní zkouška.

E-learning

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Theoretical models for dot spatial distribution Descriptive statistical methods for dots, lines, polygons Inferentional statistical methods for 1 type of event Inferentional statistical methods for multiple events Identification and analysis of hot/cold spots, anomal places Spatial distribution optimization methods, locational and allocation tasks. Gravity theory and its utilization for spatial applications Methods of assessment of autocorrelation and anizotropy of spatial data Spatial regression models – global, local Multivariate techniques for spatial data – usage of standard methods as well as spatial variants of methods. Spatio-temporal predictions.

Conditions for subject completion

Part-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (P0532D330038) Geoinformatics P English Ostrava Choice-compulsory type B study plan
2023/2024 (P0532D330038) Geoinformatics K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0532D330038) Geoinformatics K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0532D330038) Geoinformatics P English Ostrava Choice-compulsory type B study plan
2021/2022 (P0532D330038) Geoinformatics P English Ostrava Choice-compulsory type B study plan
2021/2022 (P0532D330038) Geoinformatics K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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