Course: Geoinformatics in regional development

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Course title Geoinformatics in regional development
Course code KGD/PAGIR
Organizational form of instruction Seminary
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Šmída Jiří, Mgr. Ph.D.
  • Vrbík Daniel, Mgr. Ph.D.
Course content
The course focuses on two project topics: Ecosystem Services of Urban Watercourses and Urban Bike-Sharing Systems. Both topics involve working with real-world data, conducting field surveys, analysing and interpreting the collected data, formulating recommendations, and communicating them to public administration representatives. The projects draw on the following thematic areas: 1. Open geospatial data portals as sources for data models in cross-border regional studies. Metadata and sources of data uncertainty. 2. Applications of remote sensing to regional development, spatial planning, and cross-border studies. 3. Field data collection techniques supported by GIS, GNSS, and remote sensing. 4. Geostatistical methods in GIS, illustrated through geographical problems relevant to regional studies.

Learning activities and teaching methods
Project teaching, Problematic methods (research and exploration), Seminár, Students' portfolio, Students' self-study
Learning outcomes
The aim of the course is to develop students' ability to independently and collaboratively apply geographic thinking, geoinformatics and cartographic tools to address complex regional development challenges. Building on knowledge acquired at the bachelor's level, the course is focused on project-based and problem-oriented tasks that simulate real decision-making situations in public administration, spatial planning, regional strategies and participatory processes. Students learn to formulate project concepts, select and critically assess spatial data, analytical approaches and visualization methods, interpret results with respect to different target audiences, and justify their decisions, including reflection on uncertainties, limitations and biases. Emphasis is placed on communicating analytical outcomes, teamwork, and the transferability of acquired competencies to professional practice and diploma thesis preparation.

Prerequisites
unspecified

Assessment methods and criteria
Presentation of group work

Students will actively participate in projects focusing on the ecosystem services of urban watercourses and urban bike-sharing systems. Project work includes field surveys, data processing and analysis, interpretation of results, and the formulation of recommendations for public administration. Through their project work, students will demonstrate the following abilities and skills: - identify and critically evaluate geographical data and information sources, assess data quality and uncertainty, and use these sources appropriately and ethically, - design and carry out field data collection using geoinformation technologies, - process and analyse spatial data using appropriate GIS, geostatistical, and remote sensing methods, - interpret results in the context of regional development and spatial planning, taking into account the limitations of the data and methods used, - create thematic maps and other visualisations to analyse spatial relationships and communicate findings clearly, - formulate recommendations supported by analytical findings, - produce an academic text integrating a description of methods, data analysis, interpretation of results, and proposed measures, - present and discuss findings and recommendations with public administration representatives, - organise teamwork and fulfil assigned responsibilities. To complete the course, students are required to participate actively in project work and field surveys, submit project outputs, and present and defend their work.
Recommended literature
  • LONGLEY, P. A. et al. Geographic information systems and science. 3rd ed.. Hoboken John Wiley & Sons, 2011.


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