Ph.D. Geography, Waterloo, Canada, 2000
M.A. Geography, University of Waterloo, Canada, 1991
B.A. Geography (Economics Minor), Wilfrid Laurier University, Canada, 1987
519-888-4567 ext. 35493
Location: EV3 3237Research interests
Professor Feick's research interests focus broadly on methods for using geospatial information technology and data to support decision making and public participation in land management and planning. His current research focuses on citizen participation in smart city contexts, spatial data quality, volunteered geographic information (VGI), methods to extract place-based knowledge from big geodata, and spatial multi-criteria analysis.
Citizen-generated geographic information and contested places: Enhancing citizen participation in community planning (SSHRC, PI, 2017- 2022)
Global Water Citizenship - Integrating networked citizens, scientists and local decision makers (CFREF, with C. Robertson, 2017 - 2020)
Integrating social media, geospatial information, and sentiment analysis for the analysis of acute and chronic stress in urban environments (SSHRC, C. Robertson PI)
How the Geospatial Web 2.0 is Reshaping Government-Citizen Interactions (SSHRC, R. Sieber PI, 2012 - 2019)
Strengthening the local climate change visioning process for community decision-making (deputy leader, Geomatics for Informed Decisions - GEOIDE, 2009-2012)
Promoting sustainable communities through participatory spatial decision support (PI, GEOIDE , 2005-2009)
ECOGEO: Development of an evaluation model of social and economic impacts for geomatics (co-investigator, GEOIDE, 2007-2009)
Contact Robert Feick for more information on research opportunities.
Graduate student supervision
|Number of students currently supervising/co-supervising||Total number of student supervisions/co-supervisions|
Robertson, C. and Feick, R. (2019). Geographical expertise: From places to processes and back again. In D. Caudill (ed). The Third Wave of Science & Technology Studies. Palgrave MacMillan. https://doi.org/10.1007/978-3-030-14335-0_6
Shankardass, K., Robertson, C., Shaughnessy, K., Sykora, M., & Feick, R. (2018). A unified ecological framework for studying effects of digital places on well-being. Social Science & Medicine, 227, 119-127. https://doi.org/10.1016/j.socscimed.2018.09.022
Robertson, C., & Feick, R. (2018). Inference and analysis across spatial supports in the big data era: Uncertain point observations and geographic contexts. Transactions in GIS, 22(2), 455-476. https://doi.org/10.1111/tgis.12321
Shaughnessy, K., Reyes, R., Shankardass, K., Sykora, M., Feick, R., Lawrence, H., & Robertson, C. (2018). Using geolocated social media for ecological momentary assessments of emotion: Innovative opportunities in psychology science and practice. Canadian Psychology/Psychologie canadienne, 59(1), 47-53. http://dx.doi.org/10.1037/cap0000099
Robertson C., Feick R., Sykora M., Shankardass K., Shaughnessy K. (2017) Personal Activity Centres and Geosocial Data Analysis: Combining Big Data with Small Data. In: Bregt A., Sarjakoski T., van Lammeren R., Rip F. (eds) Societal Geo-innovation. AGILE 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham https://doi.org/10.1007/978-3-319-56759-4_9
- Zhang, S. and Feick, R. 2016 Understanding public opinions from geosocial media. International Journal of Geo-Information. 5(6). http://dx.doi.org/10.3390/ijgi5060074
- Robertson, C. and Feick, R. 2015. Bumps and bruises in the digital skins of cities. Cartography and GIScience. http://dx.doi.org/10.1080/15230406.2015.1088801
- Feick, R. and C. Robertson. 2014. Geographical analysis of geotagged photographs for characterizing urban environments: A multi-scale perspective. Computers, Environment and Urban Systems.
- Danahy, J., R. Wright, J. Mitchell, and R. Feick. 2013. Exploring Ways to Use 3D Urban Models to Visualize Multi-Scalar Climate Change Data and Mitigation Change Models for e-Planning. International Journal of E-Planning Research 2(2): 1-17.
- Feick, R and R. Roche. 2013. “Understanding the value of VGI”, In D. Sui, S. Elwood, and M. Goodchild (eds.), Crowdsourcing Geographic Knowledge, pgs. 15-29, New York: Springer.