Publications

  • 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

  • Drescher, M., Feick, R., DeGeer, C and R. Shipley (2019) Participatory Methods for Identifying Cultural Heritage Landscapes. In M. Scott, N. Gallent, M. Gkartzios (eds.), The Routledge Companion to Rural Planning. Routledge

  • 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. https://doi.org/10.1111/tgis.12321

  • Ferster, C., Nelson, T., Robertson, C. and Feick, R. (2018). Current themes in volunteered geographic information. In B. Huang (ed.), 26-41, Comprehensive Geographic Information Systems. Elsevier https://doi.org/10.1016/B978-0-12-409548-9.09620-2

  • 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.

  • 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

  • Robertson, C., and Feick, R. (2017). Defining Local Experts: Geographical Expertise as a Basis for Geographic Information Quality. Proceedings of the 13th International Conference on Spatial Information Theory (COSIT 2017). 22:1-14.

  • 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 R. Feick. (2016). Bumps and bruises in the digital skins of cities: Unevenly distributed user-generated content across U.S. urban areas. Cartography and Geographic Information Science. 1-18. http://dx.doi.org/10.1080/15230406.2015.1088801

  • Feick, R., & Robertson, C. 2015. Identifying Locally- and Globally-Distinctive Urban Place Descriptors from Heterogeneous User-Generated Content. In Advances in Spatial Data Handling and Analysis (pp. 51-63). Springer. http://dx.doi.org/10.1007/978-3-319-19950-4_4

  • Lawrence, H., Robertson, C., Feick, R. and Nelson, T. 2015. Identifying optimal study areas and spatial aggregation units for point-based VGI from multiple sources. In Advances in Spatial Data Handling and Analysis (pp. 65-84). Springer. http://dx.doi.org/10.1007/978-3-319-19950-4_5

  • Feick, R. and C. Robertson. 2014. A multi-scale approach to exploring urban places in geotagged photographs Computers, Environment and Urban Systems. 53: 96-109 http://dx.doi.org/10.1016/j.compenvurbsys.2013.11.006

  • 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 2012.  “Understanding the value of VGI”, In D. Sui, S. Elwood, and M. Goodchild (eds.), Crowdsourcing Geographic Knowledge, pgs. 15-29, New York: Springer. Abstract

  • Pond, E., O. Schroth, S. Sheppard, R. Feick, D. Marceau, J. Danahy, S. Burch, L. Cornish, S. Cohen, D. Flanders, K. Tatebe, and S. Barron 2012. “Collaborative development of geo-spatial tools to support climate change decision-making”. In N. Chrisman and M. Wachowicz, (eds.), The Added Value of Scientific Networking, pg. 213-250, Quebec City: GEOIDE Network.  Chapter

  • R. Feick, V. Deparday. 2010. "Evaluating selected visualisation methods for exploring VGI" Geomatica Vol. 64, No. 4: 427-437.  Abstract     Article
     
  • Feick, R. and S. Roche. 2010. Valuing volunteered geographic information (VGI):  Opportunities and challenges arising from a new mode of GI use and production. In A. Poplin, M. Craglia and S. Roche (eds.), Proceedings of GeoValue 2010, 75-79, Hamburg, Germany, September 30 – October 2, 2010.  Pdf from Proceedings
     
  • Feick, R. 2010. “Spatial Multicriteria Evaluation”, in B. Wharf (ed.), Encyclopedia of Geography, Sage., Vol. 5, pages 2655-2657.
     
  • Hall, B, R. Chipeniuk, R. Feick, M. Leahy and V. Deparday. 2010. “Community-based production of geographic information using open source software and Web 2.0” International Journal of Geographic Information Science 24(5): 761-781. Abstract     Article
     
  • Genovese, E., S. Roche, C. Caron and R. Feick. 2010. The EcoGeo Cookbook for the assessment of Geographic Information value. International Journal of Spatial Data Infrastructures Research 5: 120-144. Article
     
  • Genovese, E., G. Cotteret, S. Roche , C. Caron and R. Feick. 2009. “Evaluating the socio-economic impact of Geographic Information: A classification of the literature”, International Journal of Spatial Data Infrastructures Research 4: 218-238.   Article
     
  • Shipley, R. and R. Feick. 2009. “Practical Approaches for the Evaluation of Cultural Heritage Landscapes”, Planning Practice and Research 24(4): 455-469. Abstract
     
  • Grant, A., R. Suffling and R. Feick. 2008. “Modeling prescribed burns to serve as regional firebreaks to allow wildfire activity in protected areas”, Forest Ecology and Management 256(11): 1815-1824, 2008. Abstract
     
  • Feick, R. and B. Boots. 2005. “Variable resolution spatial interpolation using the simple recursive point Voronoi diagram.” Geographical Analysis 37 (2): 225-243. Abstract and colour figures
     
  • Feick, R. and B. Hall.  2004. “Sensitivity analysis of multi-criteria methods for site evaluation using a GIS decision support tool”. International Journal of Geographic Information Science 18(8): 815-840. Link
     
  • Shipley, R., R. Feick, B. Hall and R. Early. 2004. “Evaluating municipal visioning: Comparing the results of five visioning exercises conducted between 1992 and 2001 in Waterloo Region”. Planning Practice and Research 19(4): 193 – 207. Link
     
  • Nelson, T., B. Boots, M. Wulder, and R. Feick. 2004. “Voronoi methods for aggregating point objects extracted from high spatial resolution remotely sensed imagery”. GeoInformatica 8(2): 143 – 155. Abstract
     
  • Feick, R. and B. Hall. 2002. “Balancing consensus and conflict with a GIS-based multi-participant, multi-criteria decision support tool”. GeoJournal 53: 391 – 406.Abstract

    (also in B. Boots, A. Okabe and R. Thomas (eds.), Modelling Geographical Systems: Statistical and Computational Applications¸ Kluwer Dordrechtpg. 203 – 233.)
     
  • Boots, B., R. Feick, N. Shiode and S. Roberts. 2002. “Investigating Recursive Point Voronoi Diagrams”.  In M.J. Egenhofer and D.M. Mark (eds.), Geographic Information Science, Lecture Notes in Computer Science, Springer Verlag, New York, pg. 1 – 21. Abstract
     
  • Feick, R. and B. Hall. 2000. “The application of a spatial decision support system to tourism-based land management in small island states”. Journal of Travel Research 39(2): 163 – 171. Abstract
     
  • R. Feick and B. Hall. 1999. “Consensus building in a multi-participant decision support system”. Journal of the Urban and Regional Information Systems Association 11(2): 17 – 23. Abstract
     
  • Hall, B., R. Bowerman and R. Feick. 1997. “GIS-based decision support architecture and applications for developing countries”. South African Journal of Geo-information 17(3): 73 – 80. Abstract
     
  • Hall, B., R. Feick, and R. Bowerman. 1997. “Problems and prospects for GIS-based decision support applications in developing countries”. South African Journal of Geo-information 17(3): 81 – 87.  Abstract

Click here for Presentations