548-0093/01 – Quantitative methods in geography (KMG)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantordoc. Ing. Igor Ivan, Ph.D.Subject version guarantordoc. Ing. Igor Ivan, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageEnglish
Year of introduction2014/2015Year of cancellation
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
IVA026 doc. Ing. Igor Ivan, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 6+6

Subject aims expressed by acquired skills and competences

- Student demonstrates knowledge: • basic concepts of statistics • basic methods Exploratory data analysis and spatial Exploratory data analysis • assessment of the spatial distribution of geographic data • correlation, autocorrelation and spatial autocorrelation • regression modeling - Students can: • apply introduced quantitative methods • analyze geographic data and take advantage of the spatial aspect of these data - Student is able to: • interpret the results • decide on appropriate procedures based on the analyzed data and the results of quantitative analysis

Teaching methods

Lectures
Tutorials

Summary

The main goal of this course is to introduce to students principles and methods of quantitative analysis in geography. It provides an overview of basic methods for statistical evaluation of data with the focus on the spatial aspects of geographic data. This course introduces both classical statistical methods of data analysis, as well as derived alternatives for quantitative analysis of geographic data.

Compulsory literature:

SMITH, M.J.: Statistical Analysis Handbook [online]. Dostupné z: . SMITH, M. J., GOODCHILD, M. F., LONGLEY, P. A. (2006): Geospatial Analysis, Troubador Publishing Ltd., 414 p. Dostupné z: . O'Sullivan, D., Unwin, D. (2010): Geographical Information Analysis. Wiley. 432 p.

Recommended literature:

FOTHERINGHAM, A.S., BRUNSDON, C., CHARLTON, M. (2000): Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications Ltd., 272 p. FOTHERINGHAM, A. S., ROGERSON, P. A. (eds.) (2009): The SAGE Handbook of Spatial Analysis, Sage Publications Ltd., 528 p.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No other requirements are defined.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1) Definition, history and goals of quantitative methods in geography. Basic statistical terms. 2) Types of variables and their relationship to quantitative analysis in geography. Basics of graphical visualisations of geographical data. 4) Basic theoretical distributions 5) Data transformation and standardization. 3) Exploratory data analysis (graphical and numerical description of the data distribution). 8) Exploratory Spatial Data Analysis. Trend analysis. 9) Spatial statistics for point pattern. Randomness and Randomization. 10)Introduction to inferential statistical tests for point pattern. Declustering. 7) Correlation analysis, spatial autocorrelation. 10) Regression analysis, local regression analysis, GWR.

Conditions for subject completion

Combined form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67 (67) 34
                Písemná zkouška Written examination 50  26
                Ústní zkouška Oral examination 17  8
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2015/2016 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2015/2016 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
ECTS - FMG 2019/2020 Full-time English Optional 501 - Study Office stu. block
ECTS - FMG 2018/2019 Full-time English Optional 501 - Study Office stu. block
ECTS - FMG 2017/2018 Full-time English Optional 501 - Study Office stu. block