548-0903/02 – Spatial Data Analysis (PAD)

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 introduction2009/2010Year of cancellation
Intended for the facultiesFEI, HGF, FBI, FASTIntended 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
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

The aim of the subject is to educate students methods of spatial statistics and spatial analysis and obtain adequate skill how to implement these methods for various application domains.

Teaching methods

Individual consultations

Summary

Spatial statistics.Spatial statistics for points.Inferential statistical tests for points.Quadrant tests.Nearest neighbour method. K function. Modelling of spatial distribution of events.Kernel mapping.Analysis of multivariate event distribution.Time-space analysis.Geostatistical methods. Structural functions.Kriging.Stochastic simulation.Lines – statistical description.Introduction to graph theory.Optimal path.Traffic accessibility. Location and allocation.Gravity theory.Analysis of interaction data. Polygons.Area interpolation.Areal data smoothing.Multivariate techniques.

Compulsory literature:

Bailey, T.C., Gatrell, A.C., "Interactive spatial data analysis" Essex, Longman Scientific & Technical, 1995. Birkin M. et al.: Intelligent GIS - location decisions and strategic planning. Geoinformation International, Cambridge, UK. 1996. Fotheringham S., Rogerson P. (editors): Spatial Analysis and GIS. Taylor&Francis Ltd 1994, 281 stran. Meer Freek D.: Introduction to Geostatistics. ITC Enschede 1992, 52 stran. Walford Nigel: Geographical Data Analysis. Yue-Hong Chou: Exploring Spatial Analysis in Geographic Information systems. Onword Press 1996.

Recommended literature:

Birkin M. et al.: Intelligent GIS - location decisions and strategic planning. Geoinformation International, Cambridge, UK. 1996. Fotheringham S., Rogerson P. (editors): Spatial Analysis and GIS. Taylor&Francis Ltd 1994, 281 stran. Walford Nigel: Geographical Data Analysis. Yue-Hong Chou: Exploring Spatial Analysis in Geographic Information systems. Onword Press 1996.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1) Definition, history and objectives of spatial analysis, review of usual methods, review of spatial statistical methods. 2) Points. Spatial statistics for point pattern. Inferential statistical tests for point pattern. Quadrat tests. Nearest neighbor methods. Ripley’ K function. 3) Modelling of point spatial patterns – theoretical models. 4) Point pattern transformation into a continuos field (raster model, kernel functions). 5) Analysis of multivariable point events. 6) Space-temporal analysis. 7) Line. Statistical description. Introduction to graph theory. Optimal path searching. Transport accessibility. Location and allocation tasks. 8) Gravity theory. Analysis of interaction data. 9) Polygons. Areal interpolation. Districting, regionalization. 10) Smoothing of areal data. Multivariate techniques. Regression modelling (including spatial regression).

Conditions for subject completion

Combined form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2018/2019 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2012/2013 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2012/2013 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2011/2012 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Choice-compulsory study plan
2011/2012 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3646) Geodesy and Cartography (3602V002) Geoinformatics K Czech Ostrava Optional study plan
2010/2011 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner