548-0926/01 – Spatial Statistics (PST)

Gurantor departmentDepartment of GeoinformaticsCredits10
Subject guarantordoc. Ing. Jiří Horák, Dr.Subject version guarantordoc. Ing. Jiří Horák, Dr.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2017/2018Year of cancellation
Intended for the facultiesHGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 doc. 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

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:

1. Theoretical types of spatial distribution for events 2. Methods of descriptive statistics for events 3. Inferential statistic methods for 1 type of events (monovariate methods) 4. Inferential statistic methods for more type of events (multivariate methods) 5. Hot spots, cold spots analysis 6. Spatial distribution optimization methods, locational and allocation methods. 7. Gravity theory and application for spatial applications 8. Autocorrelation assesment and anisotropy of spatial data 9. Spatial regression techniques 10. Spatiotemporal prediction

Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2021/2022 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2020/2021 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2020/2021 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner