Universität Wien

290132 PS Advanced Cartography (2016W)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes

TU 11.10.2016 15:00-18:00
TH 13.10.2016 12:00-16:00
FR 21.10.2016 10:00-14:00
FR 28.10.2016 10:00-18:00
FR 04.11.2016 10:00-12:00 (exam)

Ort: Computerkartographie Geographie NIG 1. OG (MM-Labor)

Information

Aims, contents and method of the course

Aims:
- show good knowledge and skills on thematic cartography such as data processing, classification, visualization, and map design
- be able to produce different thematic 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

Contents:
Conceptualizations on cartographic visualization
Data processing and classification
Different classifications and visualizations for different types of geospatial data
Cartographic semiology based on Bertin's theory and color schemes
Multimedia, hypertext, hypermedia, and hypermap
Interactive, animated and mobile maps, and 3D visualization for planning support
Web maps and mapping such as Google Maps and OpenStreetMap
Mobile cartography and location-based services

Method of the course:
Lectures, labs, and own studies

Assessment and permitted materials

To pass the course the written exam and all practicals needs to receive a passing grade.

Minimum requirements and assessment criteria

All labs with a passing grade, plus 50% for the written exam

Grading: >87,5% = 1; 75% - < 87,5% = 2; 62,5% - < 75% = 3; 50% - < 62,5% = 4; < 50% = 5

Examination topics

See course content above

Reading list

Kraak M. J. and Ormeling F. (2010), Cartography: Visualisation of geospatial data, third edition, Pearson Education Limited: Harlow, England.

Jiang B. (2015b), Head/tail breaks for visualization of city structure and dynamics, Cities, 43, 69-77. https://www.researchgate.net/publication/270634544_Headtail_Breaks_for_Visualization_of_City_Structure_and_Dynamics

Jiang B. (2015a), The fractal nature of maps and mapping, International Journal of Geographical Information Science, 29(1), 159-174. https://www.researchgate.net/publication/263316490_The_Fractal_Nature_of_Maps_and_Mapping

Jiang B. and Sui D. (2014), A new kind of beauty out of the underlying scaling of geographic space, The Professional Geographer, 66(4), 676-686. https://www.researchgate.net/publication/236887293_A_New_Kind_of_Beauty_Out_of_the_Underlying_Scaling_of_Geographic_Space

Jiang B. (2013), The image of the city out of the underlying scaling of city artifacts or locations, Annals of the Association of American Geographers, 103(6), 1552-1566. https://www.researchgate.net/publication/230802698_The_Image_of_the_City_Out_of_the_Underlying_Scaling_of_City_Artifacts_or_Locations

Jiang B., Liu X. and Jia T. (2013), Scaling of geographic space as a universal rule for map generalization, Annals of the Association of American Geographers, 103(4), 844-855. https://www.researchgate.net/publication/48203983_Scaling_of_Geographic_Space_as_a_Universal_Rule_for_Map_Generalization

Jiang B. (2013), Head/tail breaks: A new classification scheme for data with a heavy-tailed distribution, The Professional Geographer, 65 (3), 482-494. https://www.researchgate.net/publication/230839837_Headtail_Breaks_A_New_Classification_Scheme_for_Data_with_A_Heavy-Tailed_Distribution

Association in the course directory

(MK2-c-PI)

Last modified: Mo 07.09.2020 15:42