548-0926/02 – 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 languageEnglish
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 aim of the subject is to develop knowledge of students about methods of spatial statistics focused to spatial and spatio-temporal analysis of events (phenomena with point representation in time and space) and to selected autocorrelation, regression and predictive tasks.

Teaching methods

Individual consultations


• Teoretické typy prostorové distribuce událostí • Metody popisné statistiky pro události • Inferenční statistické metody pro 1 typ události • Inferenční statistické metody pro hodnocení více typů událostí • Hot spots, cold spots analýzy • Prostorové distribuční optimalizační metody, lokalizační a alokační úlohy. • Gravitační teorie a využití pro prostorové aplikace • Hodnocení autokorelace a anizotropie prostorových dat • Prostorové regresní modely • Časoprostorové predikce

Compulsory literature:

Gelfand, A.E., Diggle P.J., Fuentes M., Guttorp P.: Handbook of Spatial Statistics. Chapman & Hall/CRC, 2010. LLoyd Ch., D.: Local models for spatial analysis. CRC press. Taylor&Francis, 2011. ISBN 978-1-4398-2919-6 Wheeler D., Shaw, G., Barr S. (2010): Statistical techniques in geographical analysis. New York. 342 s.

Recommended literature:

Miller H. J., Han J.: Geographic Data Mining and Knowledge Discovery. Chapman & Hall/CRC, 2009 Anselin, L. (1988): Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers Bailey, T.C., Gatrell, A.C. (1995): Interactive spatial data analysis, Essex, Longman Scientific & Technical. Fotheringham, S., Brunsdon Ch., Charlton M.: Quantitative Geography. SAGE Publications. 270 s Goodchild M.F., Janelle D.G. (eds) (2004): Spatial integrated social science. Oxford University Press. 456 stran. Chainey, S., Ratcliffe, J., GIS and Crime Mapping, London, Wiley, 2005, 442 s. Lee, J., Wong, D.: Statistical analysis with ArcView GIS. USA, Wiley, 2001, 192 s., ISBN 0-471-34874-0. Walker, J., T., Maddan, S., (2012): Statistics In Criminology And Criminal Justice: Analysis and Interpretation. Jones & Bartlett Learning; 4 edition. 592 p. ISBN 978-1449688608 Rogerson, P., Yamada, I., (2008) Statistical Detection and Surveillance of Geographic Clusters, Chapman & Hall/CRC, 324 s. O’Sullivan, D., Unwin, D. J. (2010): Geographic Information Analysis. Wiley, 405 s. Sherman M.: Spatial Statistics and Spatio-Temporal Data. Covariance Functions and Directional Properties. Willey. 2011. ISBN 978-0-470-69958-4 Smith M.J., Goodchild M.F., Longley P.A.: Geospatial Analysis. 2014. http://www.spatialanalysisonline.com

Way of continuous check of knowledge in the course of semester


Other requirements

No additional requirements are imposed on the student.


Subject has no prerequisities.


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
2020/2021 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2019/2020 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2018/2019 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2017/2018 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner