GeoVIS SPEC TRACK

//GeoVIS SPEC TRACK
GeoVIS SPEC TRACK2019-01-08T14:02:21+00:00

Specialization Track GeoVIS – Geovisualization & Geocommunication

Palacky University Olomouc, Faculty of Science, Department of Geoinformatics

MANDATORY MODULES

Semesters 3 + 4

Specialization Track – Geovisualization & Geocommunication – with 24 ECTS is completed during semester 3, typically leading to a master’s thesis in line with the track and co-supervised at UPOL together with PLUS. Semester 4 is dedicated to the Master thesis development and examination.

Source: UPOL

Learning Outcomes: Upon completion of the module, students are able to:

  • explain the geovisualization process;
  • create visualizations using and combining spatial and non-spatial data;
  • evaluate visualization approaches of spatial data and build new ones upon the theoretical framework;
  • analyze and categorize available techniques in terms of quality, efficiency, and suitability for a particular data type,
  • evaluate available tools based on their functionality, and apply these tools to create own geovisualizations.

Module content:

  • Fundamental geovisualization concepts
  • The geovisualization process
  • Map and layout design
  • Cartographic generalization
  • Map projections
  • Use and user issues in geovisualization
  • Topographic mapping
  • Colors and labelling

Type of exam: written and oral examination

All courses are taught as practicals, fostering problem-oriented and experiential learning through individual or group assignments.

Source: UPOL

Learning Outcomes: Upon completion of the module, students are able to:

  • compare different methods of thematic cartography;
  • create thematic maps using various visualization techniques based on cartographic concepts and the general typographic guidelines;
  • describe the relevance and influence of cartography to various associated fields.

Module content:

  • Concept of thematic mapping
  • Thematic maps content
  • Composition of thematic maps
  • Methods for representing qualitative data
  • Methods for representing quantitative data
  • Map Stylistics
  • Colours in thematic maps
  • Principles of cartographic visualization method selection

Type of exam: assigment thematic map and written examination

Through a combination of a practical class including extensive lab components with an advanced seminar, students develop broad competences across the spectrum of thematic methods of geovisualization (including methods for representing qualitative and quantitative data), as well as a deeper understanding and critical appreciation of results through application experience of selected methods.

Source: UPOL

Learning Outcomes: Upon completion of the module, students are able to:

  • understand current issues in design in geovisualization;
  • evaluate design research approaches;
  • analyse and process geodata within a geovisualization context;
  • evaluate different geovisualization techniques, principles and methodologies according to the applicability to the intended project.

Module content:

  • Introduction to the design in geovisualization
  • History of computer graphics
  • Fundamental principles of graphic design and principles of geovisualization
  • Map layout and map styles
  • Bezier curves in geodata processes
  • Colours and tools for colour settings
  • Map symbology design
  • Designing infographics
  • Designing better geovisualizations

Type of exam: assigment paper, assigment map

Through a combination of an introductory lecture and a lab exercise including extensive practical components, students develop broad competences across the scope of application development methods on different design platforms.

Source: UPOL

Learning Outcomes: Upon completion of the module, students are able to:

  • demonstrate knowledge and skills in web cartography such as data processing, classification, visualization, and map design;
  • produce different web maps or visualizations based on the aforementioned knowledge and skills;
  • demonstrate good knowledge about web and mobile cartography such as Google maps, OpenStreetMap, and location-based services for mobile devices;
  • evaluate and analyse the suitability of various cartographic formats for set purposes and audiences.

Module content:

  • WebGIS 2.0, Map Application vs. Map Server
  • GDAL, OGR, proj4 libraries
  • Data formats for Web Cartography (Web services, OSM, GeoJSON)
  • Vector and raster tiles
  • Data publishing (ArcGIS Server, Maptiler, Geoserver, MapServer)
  • Cloud GIS (Carto, ArcGIS Online, MapBox, GIScloud)
  • JavaScript Libraries (Leaflet, OpenLayers)
  • API (Google Maps API, Mapy.cz API, ArcGIS API for JS)
  • Geospatial analysis and processing
  • Design and styling of web maps

Type of exam: assigment web map application and written examination

Through a combination of lectures and lab exercises as well as an individual projects selectable from different application domains. It includes extensive practical components, students develop broad competences across the spectrum of web application development methods on different platforms and programming languages.

ELECTIVES

Learning Outcomes: Upon completion of the module, students are able to:

  • remember advantages of applications of 3D data models;
  • consider the range of 3D design options;
  • choose suitable input data for 3D landscape models;
  • understand necessity of quality and consistency control;
  • use modelling software for own model preparation including texture;
  • combine 3D content into a simple model;
  • produce 3D content of moderate complexity;
  • integrate 3D printing and virtual reality workflows.

Module content:

  • 2, 2,5 and 3D concepts
  • 3D spatial data sources, formats and conversions
  • Visualisation techniques and tools for 3D visualisations
  • Level of Detail (LoD)
  • Virtual reality vs. physical reality
  • Tangible Landscape
  • Visualisation by 3D printing
  • Visualisation techniques over 3D physical models

Type of exam: written examination

All courses are taught as practicals, fostering problem-oriented and experiential learning through individual or group assignments.

Learning Outcomes: Upon completion of the module, students are able to:

  • apply advanced cartographic theories and key criteria for developing geovisualization research projects;
  • apply concepts, methods and methodologies of spatial data handling;
  • evaluate and judge influencing factors of geovisualization projects in the context of a spatial data infrastructure;
  • create components and relations of contemporary scientific geovisualization projects in the realm of SDI;
  • evaluate systematic geovisualization research approaches;
  • analyse and process geodata within a systematic context;
  • combine spatial data with other non-spatial data within systematic geovisualization.

Module content:

  • The concept of systematic cartography
  • Definition, classification and overview of atlases
  • Syntactic, semantic, sigmatic and pragmatic aspects of the map
  • Isomorphic aspects of the map
  • Styling Map Factors
  • Cartographic project and atlas model
  • Atlas creation processes
  • Goals and criteria for atlas evaluation
  • Trends in Atlas Cartography

Type of exam: assignment paper and written examination

The courses are taught as a combination of a lectures with practical lab components and an advanced seminar. All students develop broad competences across the spectrum of systematic approaches in geovisualization as well as a deeper understanding and critical appreciation of results through exapmples in atlas cartography.

Learning Outcomes: Upon completion of the module, students are able to:

  • understand the principles of desktop publishing in cartography as the relevant outcome of the cartographic communication process;
  • analyse key criteria for the pre-print processes;
  • apply the knowledge of digital typography and cartographic principles to create final maps

Module content:

  • Introduction to DTP
  • Printing techniques
  • Hardware and software in DTP
  • Vector and bitmap basics, file formats
  • Typographic rules, typefaces and fonts
  • Printing and prepress advanced settings, export
  • The most common mistakes in practice

Type of exam: assigment paper

The courses are taught as lab exercises as well as an interdisciplinary project including extensive practical components. All students apply geovisualization methods on different platforms and cartoraphic styles as well as different application domains (optionally including geospatial topics).

Learning Outcomes: Upon completion of the module, students are able to:

  • evaluate different cartographic techniques, principles and methodologies according to the applicability to the field project;
  • create user- and purpose-oriented results for the field project;
  • discuss and present the applied cartographic/design methodologies with/to experts.

Module content:

  • Thematic mapping design
  • Open source solution: OpenDataKit
  • Esri solutions: Survey123, ArcGIS Collector + ArcGIS Online connection

Type of exam: written project report

Interdisciplinary Project integrating approaches, concepts and methods from various disciplines for geospatial problem solving across geoinformation disciplines. It includes practical as well as conceptual synergies.

Learning Outcomes: Upon completion of the module, students are able to:

  • understand current cartographic research issues and cartographic research questions;
  • evaluate cartographic research approaches;
  • combine spatial data with other non-spatial data;
  • evaluate different cartographic techniques, principles and methodologies according to the applicability to the intended project;
  • create user- and purpose-oriented results for the intended project;
  • discuss and present the applied cartographic/design methodologies with/to experts.

 Module content:

  • Preparation of the cartographic project
  • Compiling the individual map project

Type of exam: written project report

The course is led as an interdisciplinary project integrating cartographic approaches, design concepts and geovisualization methods for geospatial problem solving across geoinformation disciplines. It includes practical as well as conceptual synergies.

Learning Outcomes: Upon completion of the module, students are able to:

  • understand the relations of advanced visualization methods to associated fields;
  • understand the fundaments in advanced visualization methods;
  • understand key criteria’s for developing visualization research projects;
  • create advanced visualization methods applications using contemporary programming languages and frameworks;

 Module content:

  • Introduction to the visualization methods
  • Geovisualization, exploration, and insight
  • Dynamic interface design
  • Multimedia visualization
  • Visual perception and cognition, V-analytics
  • User centred design
  • Principles of interaction, Virtual reality
  • Web-based geovisualization platforms
  • Modern trends in geovisualization
  • Legal issues in geovisualization

Type of exam: assigriment maps and papers and oral examination

Through a combination of a practical class including extensive lab components with an advanced seminar, students develop broad competences across the spectrum of thematic methods of visualization (including methods for representing multimedia data), as well as a deeper understanding and critical appreciation of results through web application experience.

Learning Outcomes: Upon completion of the module, students are able to:

  • understand the role of cognitive cartography in cartographic research;
  • explain theories of perception and effective user-driven map-design;
  • understand current cognitive research issues in relations to cartographic research questions;
  • evaluate perception aand cognition of cartographic products;
  • analyse the process of map reading;
  • evaluate different cartographic techniques, principles and methodologies according to the cognitive processes;
  • create user- and purpose-oriented results for the intended project.

Module content:

  • Methods of cognitive cartography
  • Methodological aspects of empirical research in cognitive cartography
  • History and the current state of cognitive research in cartography
  • Design and preparation of eye-tracking experiments
  • Identification algorithms of fixations and saccades
  • Pre-processing of eye-tracking data
  • The combination of eye-tracking with other methods
  • Analyses, visualization and statistical evaluation of recorded data
  • The use of GIS tools for visual analysis of eye-tracking data

Type of exam: written project report

The courses ase combinations of lectures, practical classes and advanced seminar. All students develop eye-tracking experiment as well as a deeper understanding and critical appreciation of results through application experience of selected evaluation approaches.

latest update: January 8, 2019