548-0929/02 – Geovisualisation (GVIZ)
| Gurantor department | Department of Geoinformatics | Credits | 10 |
| Subject guarantor | prof. Ing. Igor Ivan, Ph.D. | Subject version guarantor | prof. Ing. Igor Ivan, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2017/2018 | Year of cancellation | 2022/2023 |
| Intended for the faculties | HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
This subject is introducing basics as well as advanced methods and principles of geovisualization - its history, development and current trends. It is focused on methods of 2D and 3D spatio-temporal geovisualization and their use in GIs with emphasis on Big Data and Visual Analytics. Another part of the subject is focused on standards and formats for storing of spatio-temporal data.
Content:
1) History and development of geovisualization.
2) Basic terms, type of geovisualization methods.
3) Basic pronciples of visualization.
4) Visual Analytics.
5) Time and its perception in relation to geovisualization.
6) Introduction into Visual Analytics in relation to spatio-temporal data.
7) Method of Partition Based Clustering in Visual Analytics.
8) Method of Density-based Clustering in Visual Analytics.
9) Visual Analytics and trajectory and movement data.
10) Standards in geovisualization.
11) Interactivity, virtual reality and augmented reality.
Teaching methods
Lectures
Individual consultations
Summary
This subject is introducing basics as well as advanced methods and principles of geovisualization - its history, development and current trends. It is focused on methods of 2D and 3D spatio-temporal geovisualization and their use in GIs with emphasis on Big Data and Visual Analytics. Another part of the subject is focused on standards and formats for storing of spatio-temporal data.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
No other requirements are defined.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) History and development of geovisualization.
2) Basic terms, type of geovisualization methods.
3) Basic pronciples of visualization.
4) Visual Analytics.
5) Time and its perception in relation to geovisualization.
6) Introduction into Visual Analytics in relation to spatio-temporal data.
7) Method of Partition Based Clustering in Visual Analytics.
8) Method of Density-based Clustering in Visual Analytics.
9) Visual Analytics and trajectory and movement data.
10) Standards in geovisualization.
11) Interactivity, virtual reality and augmented reality.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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