Course: Spatial Analysis

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Course title Spatial Analysis
Course code KGE/SPA
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Kebza Martin, Mgr.
  • Vogt David, RNDr. Ph.D.
Course content
Geographical information systems as a tool for processing and analysis of spatial information in socio-economic-geographical research, introduction to the software or its reminder, basics of work Primary and secondary sources of geodata and selected thematic data, online mapping services, databases Creation of thematic maps including advanced visualisation methods Land use map, spatial statistics (summarisation) ArcGIS Online and its use, Story Maps Creation of surface (continuous field), density maps - heatmaps Analyses based on digital terrain model Creating surfaces using other methods - weighted inverse distances, Voronoi diagrams Analyses using spatial overlay Analyses using map algebra Spatial autocorrelation and geographically weighted regression (GWR) Regionalisation with GIS support, classification and typology of regions

Learning activities and teaching methods
Lecture supplemented with a discussion, Students' portfolio, Self-study of literature, Textual studies, Lecture, Seminar
  • Practical training (number of hours) - 26 hours per semester
  • Contact hours - 13 hours per semester
  • Preparation for comprehensive test (10-40) - 20 hours per semester
  • Presentation preparation (report in a foreign language) (10-15) - 10 hours per semester
  • Team project (50/number of students) - 40 hours per semester
prerequisite
Knowledge
to have a basic knowledge of human (economic and regional) geography and basic cartography - recommended
to have a basic knowledge about methods within the scope of the bachelor's degree of economic geography or related subjects
basic understanding of simple communication and texts in English
Skills
to create and professionally use maps with economic content and the use of economic-geographic database
to be able to graphically and cartographically process socio-economic data
to have basic personal computer skills
Competences
N/A
N/A
- to clearly and persuasively communicate information to experts and laypersons about the nature of professional problems and their own views on their solutions - to independently acquire additional professional knowledge, skills and competencies based primarily on practical experience and its evaluation, but also through independent study of theoretical knowledge of the field
N/A
N/A
learning outcomes
Knowledge
to have knowledge of available analytical geoinformation and related methods, sources of usable reliable geodata and thematic data and online services
to think critically about the suitability of spatial-analytical and visualisation methods to effectively address a given research problem
to use geographic information systems to solve various sociogeographic research problems
Skills
to solve a complex geographic project using a combination of appropriate spatial-analytical and visualisation methods
to process geographic data from a geographic database in the form of graphs and more advanced thematic cartography outputs
to analyse socio-economic processes and phenomena in space and time appropriately and effectively
to create or acquire, analyze and visualize data from point measurements, surfaces, spatial overlays, line networks and more in vector and raster, 2D and 3D form
to master advanced spatial analysis methods such as spatial autocorrelation (LISA) and geographically weighted regression (GWR)
Competences
N/A
N/A
N/A
N/A
N/A
- to make independent and responsible decisions in new or changing contexts or in fundamentally evolving environments, taking into account the broader societal implications of their decisions - to communicate their own professional views clearly and persuasively to professionals and the wider public - to use their professional knowledge, professional skills and general competence in at least one foreign language - according to evolving contexts and available resources, to define assignments for professional activities, coordinate them, and have ultimate responsibility for their outcomes - to plan, support and manage, using theoretical knowledge of the field, the acquisition of additional expertise, skills and competences of other team members,
teaching methods
Knowledge
Practicum
Project-based instruction
Lecture with visual aids
Individual study
Students' portfolio
Self-study of literature
Interactive lecture
Skills
Skills demonstration
Practicum
Project-based instruction
Interactive lecture
Students' portfolio
Lecture with visual aids
Competences
Project-based instruction
Practicum
Task-based study method
Interactive lecture
Individual study
assessment methods
Knowledge
Test
Project
Group presentation at a seminar
Skills
Skills demonstration during practicum
Group presentation at a seminar
Project
Test
Competences
Project
Test
Group presentation at a seminar
Skills demonstration during practicum
Recommended literature
  • Anselin, L.; Rey, Sergio J. Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. Urbana, 2014. ISBN 978-0-98-634210-3.
  • Anselin, Luc. Local Indicators of Spatial Association?LISA. 1995.
  • ESRI. ArcGIS Pro quick-start tutorials. 2023.
  • Longley, Paul. Geographic information systems & science. 3rd ed. Hoboken : John Wiley & Sons, 2011. ISBN 978-0-470-72144-5.
  • Miklín, Jan; Dušek, Radek. Proposal for the hierarchical classification of thematic cartography methods and its application to evaluation of Czech and Slovak national atlases. .
  • Netrdová, Pavlína; Nosek, Vojtěch. Exploring the variability and geographical patterns of population characteristics: Regional and spatial perspectives. 2017.
  • Netrdová, Pavlína; Nosek, Vojtěch. Regional and Spatial Concentration of Socio-economic Phenomena: Empirical Evidence from the Czech Republic. 2010.
  • Nosek, Vojtěch; Netrdová, Pavlína. What values of Moran's I and Theil index decomposition really mean under different conditions: on the issue of interpretation. 2017.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester