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Perez, Liliana

Associate Professor


  • Telephone 514-343-8003 Pav. PAV.520 CH.COTE STE-CATHERINE \ Ext. 440-1


Perez, Liliana


My initial training was in cadastre and geodesy (B.Eng from the Distrital University, UD, Colombia). After earning my Master's degree in Geography (UPTC, Colombia) in 2003, I worked for the Marine and Coastal Research Institute (INVEMAR) and for the International Center for Tropical Agriculture (CIAT). Three years later, in 2006, I left Colombia to come to Canada, where I began a PhD in Geography with a specialization in modelling complex systems at Simon Fraser University (SFU), under the direction of Dr. Suzana Dragicevic (SAMLab). In my dissertation I examined the topic of spatial and temporal modelling of insect epidemics and their complex behaviours. After obtaining my PhD in 2011, I began postdoctoral studies at the University of British Columbia (2011) and the University of Victoria (2011-2013), where I worked on issues concerning the spatial and temporal relationships between changes in indirect indicators of biodiversity and climate change.

Research expertise

Complexity is inherent in ecological and anthropogenic processes. My research interest is to learn more about spatial and temporal interactions and relationships driving changes in our world. Spatial analysis and modelling and geographic information systems (GIS) can provide insights into complex problems such as climate change, landscape ecology and forestry by explicitly representing phenomena in their geographic context. My research focuses on the multidisciplinary nature of geographical information science (GIScience) to investigate the relationships between ecological processes and resulting spatial patterns.

Areas of expertise


Peer-Reviewed Publications

  1. Perez, L., Dragicevic, S. and Gaudreau, J. (2019) A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada. PLoS ONE 14(7): e0219188. ((Link to the article)
  2. Quesada-Ruiz, L.C., Perez, L. and Rodriguez-Galiano, V. (2019) Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria. Science of the Total Environment, 687:104-117. (Link to the article)
  3. Tiné, M., Perez, L., Molowny-Horas, R. and Darveau, M. (2019) Hybrid spatiotemporal simulation of future changes in open wetlands : A study of the Abitibi-Témiscamingue region, Québec, Canada. International Journal of Applied Earth Observations and Geoinformation, 74:302-313. (Scopus)
  4. Gaudreau, J., Perez, L. and Harati, S. (2018) Towards Modelling Future Trends of Quebec's Boreal Birds Distribution under Climate Change. ISPRS International Journal of Geo-Information, 7(9):335. (Link to the article)
  5. Gaudreau, J., Perez, L. and Drapeau, P. (2016) BorealFireSim: A GIS-based Cellular Automata Model of Wildfires for the Boreal Forest of Quebec in a Climate Change Paradigm. Ecological Informatics, 32:12-27. (Scopus)
  6. Perez, L., Nelson, T.A., Coops, N.C., Fontana, F. and Drever, CR (2016) Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate: a 21years' data series review across the Canadian boreal forest. International Journal of Digital Earth, 9(7):676-696. (Scopus)
  7. Gaudreau, J., Perez, L. and Legendre, P. (2015) Identification des variables expliquant la distribution spatiale d'oiseaux de la forêt boréale et modélisation de tendances futures: Une approche multivariée. CyberGeo, 2015:1181-1204. (Scopus)
  8. Perez, L., Nelson, T.A., Bourbonnais, M. and Ostry, A. (2015) Modelling the Potential Impact of Climate Change on Agricultural Production in the Province of British Columbia. Energy and Environment Research, 5(1):49-62. (Link to the article)
  9. Nelson, T.A., Coops, N.C., Wulder, M.A., Perez, L., Fitterer, J., Powers, R. and Fontana, F. (2014) Predicting climate change impacts to the canadian boreal forest. Diversity, 6(1):133-157. (Scopus)
  10. Perez, L., Dragicevic, S. and White, R. (2013) Model testing and assessment: Perspectives from a swarm intelligence, agent-based model of forest insect infestations. Computers, Environment and Urban Systems, 39:121-135.(Scopus)
  11. Perez, L. and Dragicevic, S. (2012) Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based cellular automata model. Ecological Modelling, 231:53-64. (Scopus)
  12. Perez, L. and Dragicevic, S. (2011) ForestSimMPB: A swarming intelligence and agent-based modeling approach for mountain pine beetle outbreaks.Ecological Informatics, 6(1):62-72. (Scopus)
  13. Perez, L. and Dragicevic, S. (2010) Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales. Environmental Modelling and Software, 25(2):223-236. (Scopus)
  14. Perez, L. and Dragicevic, S. (2009) An agent-based approach for modeling dynamics of contagious disease spread. International Journal of Health Geographics, 8(1):50. (Scopus)
  15. Perez, L. and Rivera, J.A. (2002) Geography and Environment: Perspectives of Analysis. Revista Perspectiva Geográfica, 7:30-37.

Peer-Reviewed Conference Papers (proceedings)

  1. Perez, L. and Dragicevic, S. (2010) Exploring forest management practices using an agent-based model of forest insect infestations. In Modelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society, iEMSs 2010. Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada, pages 766-773. (Scopus)


  1. Perez L., L., Kim, E.-K., & Sengupta, R. (Eds.). (2018). Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. Cham: Springer International Publishing (110 p.) (Link to the book)

Book Chapters

  1. Hébert, G. A., Perez, L., & Harati, S. (2018). An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria. In Agent-Based Models and Complexity Science in the Age of Geospatial Big Data, Cham: Springer International Publishing, pp. 45–58.
    (Link to the chapter)

Courses given in the Department this term