Course Details

Cartography 2

Academic Year 2024/25

NEA031 course is part of 1 study plan

​ NPC-GK Winter Semester 1st year

The creation of thematic maps is the key content of the subject. ArcGIS for Desktop will be used as a software background. Within the subject key methods of thematic cartography will be presented.

Credits

6 credits

Language of instruction

Czech

Semester

winter

Course Guarantor

doc. RNDr. Aleš Ruda, Ph.D.

Institute

Institute of Geodesy

Forms and criteria of assessment

course-unit credit and examination

Entry Knowledge

Cartographic terminology, optics, theory of color.

Aims

Analogue and analytical methods of cartographic creation and production of cartographic works.
Student will manage basic theoretical knowledge of cartographic creation and production of maps. Using the digital technologies they will be able to make compilation manuscript and fair draught.

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/281866

Lecture

13 weeks, 2 hours/week, elective

Syllabus

  • 1. Conception and composition of thematic maps.
  • 2. Geoinformatics aspects of thematic maps creation.
  • 3. Cartographic generalization.
  • 4. Cartographic visual expression 1.
  • 5. Cartographic visual expression 2.
  • 6. Specific aspects of visual expressions.
  • 7. Scales in thematic cartography.
  • 8. Methods in thematic cartography 1.
  • 9. Methods in thematic cartography 2.
  • 10. Time-spatial dynamics in maps
  • 11. Cartographic typography.
  • 12. Managing thematic maps and atlases production.
  • 13. Current trends in thematic cartography.

Exercise

13 weeks, 3 hours/week, compulsory

Syllabus

  • 1.–2. Thematic maps composition. Cartographic representation.
  • 3.–4. Cartographic generalization. Topographic content of the map.
  • 5.–6. Qualitative data visualization.
  • 7.–8. Quantitative data visualization (choropleth map, izoplets, dasymetric map).
  • 9.–10. Quantitative data visualization (proportional map, dot map).
  • 11.–13. Time-spatial dynamics visualization.