Universität Wien

290105 VU Introduction to Public Participation GIS Methods for Spatial Research and Spatial Planning (2023W)

6.00 ECTS (3.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Further details coming soon.

  • Freitag 20.10. 10:00 - 13:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Freitag 27.10. 10:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Freitag 10.11. 10:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Freitag 17.11. 10:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Freitag 24.11. 10:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Freitag 15.12. 10:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course is directed for students with a basic understanding of geographic information systems (GIS). Proficiency in GIS use / spatial analysis is not required. However, during the course we will use a GIS software in data analysis. Note that we use English as our working language.

This intensive course provides an introduction to public Participation geographic information systems (PPGIS) as tools for research and participatory planning.
PPGIS refers to a growing field of participatory planning and research methods used to study of person-environment interactions. Common to these methods is the aim to capture spatial knowledge produced by non-expert participants based on their own experience and expertise of their lived environment. In contrast to conventional participatory mapping methods, contemporary applications of PPGIS use digital tools for data collection. This enables large-scale data collection, as well as the joint analysis of primary spatial data produced by respondents together with secondary sources of geographic data, such as land-use, georeferenced census data, or planning documents. Today, PPGIS methods are applied in various fields for locating and communicating place-based experiential knowledge from respondents and residents.
During the course the participants will develop a good working understanding of digital participatory mapping methods as tools for research and planning practice as well as of the best practices of collecting and working with participatory mapping data. Participants will practice designing map-based surveys, data analysis, and visualization.
After completing the course, participants will be

  • Familiar with digital participatory mapping methods and their strengths and limitations,
  • Familiar with the analytical possibilities of participatory mapping data,
  • Able to independently design a map survey, and
  • Able to critically analyze and apply participatory mapping methods in research and in planning practice.

    • Art der Leistungskontrolle und erlaubte Hilfsmittel

    The final grade is based 50% on the course portfolio compiled from course assignments and 50% on a learning diary that will be completed during the course. Active participation in in-class discussions will increase the grade. There is no final exam.

    Mindestanforderungen und Beurteilungsmaßstab

    To successfully complete the course, the student is expected to

  • Participate in all contact teaching sessions (unavoidable absences allowed with teacher’s permission)
  • Complete both the course portfolio and learning diary with passing grades.

    • Prüfungsstoff

    There is no final exam.

    Literatur

    Brown, G., & Kyttä, M. (2014). Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research. Applied Geography, 46. https://doi.org/10.1016/j.apgeog.2013.11.004

    Brown, G., & Kyttä, M. (2018). Key issues and priorities in participatory mapping: Toward integration or increased specialization? Applied Geography, 95, 1–8. https://doi.org/10.1016/j.apgeog.2018.04.002

    Brown, G., Reed, P., & Raymond, C. M. (2020). Mapping place values: 10 lessons from two decades of public participation GIS empirical research. Applied Geography, 116, 102156. https://doi.org/10.1016/j.apgeog.2020.102156

    Fagerholm, N., Raymond, C. M., Olafsson, A. S., Brown, G., Rinne, T., Hasanzadeh, K., … Kyttä, M. (2021). A methodological framework for analysis of participatory mapping data in research, planning, and management. International Journal of Geographical Information Science, 00(00), 1–28. https://doi.org/10.1080/13658816.2020.1869747

    Fagerholm, N., Samuelsson, K., Eilola, S., Giusti, M., Hasanzadeh, K., Kajosaari, A., … Barthel, S. (2022). Analysis of pandemic outdoor recreation and green infrastructure in Nordic cities to enhance urban resilience. Npj Urban Sustainability, 2(25). https://doi.org/10.1038/s42949-022-00068-8

    Jankowski, P., Czepkiewicz, M., Młodkowski, M., Zwoliński, Z., & Wójcicki, M. (2019). Evaluating the scalability of public participation in urban land use planning: A comparison of Geoweb methods with face-to-face meetings. Environment and Planning B: Urban Analytics and City Science, 46(3), 511–533. https://doi.org/10.1177/2399808317719709

    Kahila-Tani, M., Kyttä, M., & Geertman, S. (2019). Does mapping improve public participation? Exploring the pros and cons of using public participation GIS in urban planning practices. Landscape and Urban Planning, 186(February), 45–55. https://doi.org/10.1016/j.landurbplan.2019.02.019

    Kyttä, M., Broberg, A., Tzoulas, T., & Snabb, K. (2013). Towards contextually sensitive urban densification: Location-based softGIS knowledge revealing perceived residential environmental quality. Landscape and Urban Planning, 113, 30–46. https://doi.org/10.1016/j.landurbplan.2013.01.008

    Raymond, C. M., Fazey, I., Reed, M. S., Stringer, L. C., Robinson, G. M., & Evely, A. C. (2010). Integrating local and scientific knowledge for environmental management. Journal of Environmental Management, 91(8), 1766–1777. https://doi.org/10.1016/j.jenvman.2010.03.023

    Zuordnung im Vorlesungsverzeichnis

    (MR1-a/b-PI) (MR3-PI) (MR FW-PI)

    Letzte Änderung: Mo 02.10.2023 11:28