548-0064/07 – GIS in Regional Analysis (GISRA)

Gurantor departmentDepartment of GeoinformaticsCredits4
Subject guarantorprof. Ing. Igor Ivan, Ph.D.Subject version guarantorprof. Ing. Igor Ivan, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory type B
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesHGF, EKFIntended for study typesBachelor, Follow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
IVA026 prof. Ing. Igor Ivan, Ph.D.
KUK064 Ing. Pavel Kukuliač, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 1+3

Subject aims expressed by acquired skills and competences

The aim of the subject is to give information students about principles of geographical information systems and their application in regional analysis. Students should be able to propose and practically realise basic tasks needed in the frame of regional analysis, to prepare adequate outputs and to interpret obtain results.

Teaching methods



This subject is useful for students using geographic information systems and other GI technologies for regional analyses. Although this subject is focused mainly on socioeconomic activities, a substantial part is also focused on physical geography (mainly environmental issues). The student will learn how to collect available data, process it and display using maps.

Compulsory literature:

Longley, P.A., Goodchild, M., MaguireD.J., Rhind, D.W. (2015): Geographic Information Systems and Science, Wiley, 496p.

Recommended literature:

Smith, M.J.: Statistical Analysis Handbook [online]. Dostupné z: . Rogerson, P.A. (2019): Statistical Methods for Geography: A Student’s Guide, SAGE Publications Ltd, 432 p. Awange, J., Kiema, J. (2013): Environmental Geoinformatics. Extreme Hydro-Climatic and Food Security Challenges: Exploiting the Big Data. Springer, Earth and Environmental Science, 635 p.

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) GIS, application domains, terminology. 2) Data, spatial data, geodata. 3) Features, composition of features and its description. Geometrical description of features. 4) Thematic, temporal, relational, functional and qualitative descriptions of features. 5) Methods of spatial data collection. GNSS, Earth observation. 6) Sources of digital geodata. 7) Input of spatial data. Sources of errors. 8) Spatial data analysis. 9) Specific features of socio-ecomomic data. 10) Geocoding, address matching. 11) Data visualiasion, presentation. 12) Basic cartographical rules. 13) Selected case studies.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100 (100) 51
        Final test Written test 44  10
        Individual Project Semestral project 45  20
        Attendance Other task type 11  7
Mandatory attendence parzicipation: According to teacher's instructions.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2022/2023 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava Choice-compulsory type B study plan
2021/2022 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava Choice-compulsory type B study plan
2020/2021 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava Choice-compulsory type B study plan
2019/2020 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner