La complexité est inhérente aux processus écologiques et anthropogéniques. Mes intérêts de recherche consistent à en apprendre plus sur les relations et sur les interactions spatiales et temporelles façonnant les changements de notre monde. L'analyse spatiale, la modélisation et les systèmes d'information géographique (SIG) permettent d'étudier les problèmes complexes, tels que les changements climatiques, l'écologie du paysage et la foresterie, en représentant explicitement les phénomènes dans leur contexte géographique. Mes recherches focalisent sur la nature multidisciplinaire de la Science de l'Information Géographique (GISience) afin d'étudier les relations entre les processus écologiques et les patrons de distribution spatiale résultants.

Projets en cours

• Modélisation multi-agents des changements de la répartition spatiale des oiseaux migrateurs de la forêt boréale

Ma formation initiale est en cadastre et géodésie (B.Ing. de l'Université Distrital, UD, Colombie). Après l'obtention de ma maîtrise en géographie (UPTC, Colombie) en 2003, j'ai travaillé pour l’Institut de Recherche Marine et Côtière «José Benito Vives de Andreis» (INVEMAR) et aussi pour le Centre international d'agriculture tropicale (CIAT). Trois ans plus tard, en 2006, j'ai quitté la Colombie pour m’installer au Canada et commencer un doctorat en géographie avec spécialisation en modélisation de systèmes complexes à l’université Simon Fraser (SFU), sous la direction du Dr Suzana Dragicevic (SAMLab). Dans cette thèse j'ai abordé le sujet de la modélisation spatiale et temporelle des épidémies des insectes et leurs comportements complexes. À la suite de l'obtention de mon doctorat en 2011, j'ai entrepris mes études de post doctorat à l’Université de la Colombie-Britannique (2011) et aussi à l’Université de Victoria (2011-2013) où j'ai travaillé sur des questions liées à la relation spatiale et temporelle  entre les changements d’indicateurs indirects de la biodiversité et du changement climatique.

Responsable du programme de D.E.S.S. en géomatique et cartographie dynamique

Modélisation de répartition d’espèces aviaires et de feux en forêt boréale du Québec dans un contexte de changement climatique

Diplômé(e) : Gaudreau, Jonathan
Cycle : Maîtrise
Diplôme obtenu : M. Sc. -  2016

Articles publiés dans des revues avec comité de lecture  (*Membres de mon groupe de recherche)

1. Cuellar, Y. A.*, Perez, L., (2023). Assessing the accuracy of sensitivity analysis: an application for a cellular automata model of Bogota’s urban wetland changes. Geocarto International, 38:1, https://10.1080/10106049.2023.2186491

2. Mahdizadeh, N.*, Perez, L., (2023). Flood susceptible prediction through the use of geospatial variables and machine learning methods. Journal of Hydrology, 2022, 24(11), 129121; https://doi.org/10.1016/j.jhydrol.2023.129121 

3. Mahdizadeh, N.*, Perez, L., (2022). Geocomputational Approach to Simulate and Understand the Spatial Dynamics of COVID-19 Spread in the City of Montreal, QC, Canada. ISPRS International Journal of Geo-Information​, 2022, 11(12), 596; https://doi.org/10.3390/ijgi11120596

4. Mahdizadeh, N.*, Perez, L., (2022). Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models. Entropy, 24(11), 1630; https://doi.org/10.3390/e24111630

5. Seuru, S., Burke, A., & Perez, L., (2021). Réflexions sur la proportion du lapin de garenne (Oryctolagus cuniculus) dans le régime alimentaire des chasseurs-cueilleurs autour du Dernier Maximum Glaciaire en Ibérie. Trabajos De Prehistoria, 78(2), 221–236; https://doi.org/10.3989/tp.2021.12273

6. Harati, S.*, Perez, L., Molowny-Horas, R., (2021). Promoting the Emergence of Behavior Norms in a Principal–Agent Problem—An Agent-Based Modeling Approach Using Reinforcement Learning. Applied Sciences, 11 (18), 8368; https://doi.org/10.3390/app11188368

7. Harati, S.*, Perez, L., Molowny-Horas, R. & Pontius, R. G., (2021). Validating models of one-way land change: an example case of forest insect disturbance. Landscape Ecology, 36, 2919–2935, https://doi.org/10.1007/s10980-021-01272-0

8. Katan, J.* and Perez, L., (2021). ABWiSE v1.0: Toward and Agent-Based Approach to Simulating Wildfire Spread. Natural Hazards and Earth System Sciences. 21 (10), 3141-3160, https://doi.org/10.5194/nhess-21-3141-2021 

9. Patel J., Katan, J.*, Perez, L., Sengupta, R., (2021). Transferring Decision Boundaries onto a Geographic Space: Agent-Rules Extracted from Movement Data using Classification Trees. Transactions in GIS, 25 (3), 1176-1192, https://doi.org/10.1111/tgis.12770

10. Gauvin-Bourdon, P., King, J., & Perez, L., (2021). Impacts of grazing on vegetation dynamics in a sediment transport complex model. Earth Surface Dynamics, 9 (1), 29-45, https://doi.org/10.5194/esurf-9-29-2021

11. Anderson, T., Leung, A., Perez, L., & Dragićević, S., (2021). Investigating the Effects of Panethnicity in Geospatial Models of Segregation. Applied Spatial Analysis and Policy, 14, 273-295, https://doi.org/10.1007/s12061-020-09355-2

12. Anderson, T., Leung, A., Dragicevic, S., & Perez, L., (2021). Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent‐based approach. Transactions in GIS, 25(2), 948-967, https://doi.org/10.1111/tgis.12712

13. Harati, S.*, Perez, L., & Molowny-Horas, R., (2020). Integrating Neighborhood Effect and Supervised Machine Learning Techniques to Model and Simulate Forest Insect Outbreaks in British Columbia, Canada. Forests, 11(11), 1215, https://doi.org/10.3390/f11111215.

14. Tiné, M.*, Perez, L., & Molowny-Horas, R., (2020). Modelagem das mudanças espaço-temporais de áreas úmidas: estudo de caso da Região Administrativa de Abitibi-Témiscamingue – Québec, Canadá. Revista Cartográfica, (101), 119-134, https://doi.org/10.35424/rcarto.v0i101.672.

15. Tiné, M.*, Perez, L., Molowny-Horas, R., (2019). Fundamentos teóricos de modelagem em Sistemas Complexos. Revista Contexto Geográfico, v. 4, n. 7:111– 120. (Lien vers l'article)

16. Perez L., Dragicevic S., 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, https://doi.org/10.1371/journal.pone.0219188.

17. 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, https://doi.org/10.1016/j.scitotenv.2019.06.079.

18. Tiné, M.*, Perez, L., Molowny-Horas, R., 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, https://doi.org/10.1016/j.jag.2018.10.001.

19. 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. (Lien vers l'article)

20. 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)
21. 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)
22. 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)
23. 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. (Lien vers l'article)
24. 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)
25. 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)
26. 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)
27. 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)
28. 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)
29. 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)

Articles publiés dans des actes de colloque (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)

Livres

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.) (Lien vers le livre)

Chapitres de livre

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.
   (Lien vers le chapitre)

1. Harati, S.*, Perez, L., &  Molowny-Horas, R. &Pontius Jr, R. G., (2021). Validation of Irreversible Spatially-Spreading Land Change Models – an Example of Forest Insect Infestations. International Association of Landscape Ecologists - North America (IALE-NA) 2021. Online. April 12-16.

2. Cuellar, Y. A.*, Perez, L., (2021). Modeling, Simulation and Spatial Dynamics Analysis in Urban Wetlands by Cellular Automata: a Case Study of Bogota city, Colombia. International Association of Landscape Ecologists - North America (IALE-NA) 2021. Online. April 12-16.

3. Harati, S.*, Perez, L., & Molowny-Horas, R. & Pontius Jr, R. G., (2021). Use of proximity as a baseline for comparison in validating models of irreversible land change. American Association of Geographers (AAG) 2021. Online. April -9.

4. Patel J., Katan, J.*, Perez, L., Sengupta, R., (2020). Transferring Decision Boundaries onto a Geographic Space: Agent-Rules Extracted from Movement Data using Classification Trees. IEEE VIS 2020 Workshop. Online. October 26th.

5. Quesada-Ruiz, L. C.*, Perez, L., Rodriguez-Galiano, V. and Aragones, D., (2020). Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria. EGU General Assembly 2020. Online. May 4–8.

6. Harati, S.*, Perez, L., Molowny-Horas, R., (2020). Validation of a forest insect infestation model with the method of 3-map comparison at multiple resolutions. ESRI Canada Conference on GIS in Education and Research. Toronto, ON, Canada, March 4-5.

7. Katan, J.*, Perez, L., Sengupta, R., (2020). Harnessing Chaos: Using agent-based modelling to study the effects of poor decision-making during building evacuation. ESRI Canada Conference on GIS in Education and Research. Toronto, ON, Canada, March 4-5.

8. Perez, L., Dragicevic, S., (2019). The role of language in urban segregation: an agent-based model of the spatial dynamics of immigrants in Montreal, Canada. ABMUS2019: The 4th International Workshop on Agent-Based Modelling of Urban Systems, Montreal, QC, Canada, May 14.

9. Patel, J., Jones, B.*, Perez, L., Sengupta, R., (2019). Uncovering landscape desirability with classification trees. SKI 2019 - Spatial Knowledge and Information Canada, Banff, AB, Canada, February 21-24.

10. Sengupta, R., Perez, L., (2018). Big Data (r)evolution in ABM and Complexity Science. 10th International Conference on Geographic Information Science, Melbourne, VIC, Australia, August 28-31.

11. Harati, S.*, Perez, L., Molowny-Horas, R., (2018). Simulation of Outbreaks of the Mountain Pine Beetle in British Columbia Using Cellular Automata - a Big Data Perspective. 10th International Conference on Geographic Information Science, Melbourne, VIC, Australia, August 28-31.

12. Sauri-Ramirez J.*, Perez L., James P.M.A, (2018). Modeling the effect of climate change on the phenological synchronization between a defoliator and its host: an agent-based approach. Canadian Society for Ecology and Evolution Meeting, Guelph, ON, Canada, July 18 - July 21.

13. Perez, L., Tiné, M.*, & Molowny-Horas, R., (2018). Understanding spatiotemporal changes of boreal wetlands in the Abitibi region of Quebec, Canada: a hybrid modelling approach. AAG Annual meeting, New Orleans, LA, États-Unis, 10-14 avril.

14. Sauri-Ramirez J.*, Perez, L., James, P.M.A., (2017). Modélisation de l’effet du changement du climat sur la synchronisation phénologique entre un insecte défoliateur et son hôte: une approche à base d’agents. Colloque du Centre de la science de la biodiversité du Québec (CSBQ), Montréal, QC, Canada, 11 à 13 décembre.

15. Tiné, M.*, Perez, L., Molowny, R. (2017). Using a cellular automata model to study the drivers of wetland changes in the Abitibi-Témiscamingue region, Québec, Canada. QCBS Annual Symposium. Montreal, QC, Canada, December 11-13.

16. Harati, S.*, Perez, L., Molowny-Horas, R., (2017). A novel approach to transition rule elicitation: the case of mountain pine beetle outbreaks simulation. CAG Annual Meeting, Toronto, ON, Canada, May 29 to June 2.

17. Arnoux, G.*, Perez, L., (2017). An Agent-Based Model (ABM) to Identify Migration Corridors of Refugees: the case of Syria. CAG Annual Meeting, Toronto, ON, Canada, May 29 to June 2.

18. Harati, S.*, Perez, L., Molowny-Horas, R., (2016). Agent-based simulation and analysis of formation of cooperation towards conservation of a forest ecosystem. QCBS Annual Symposium, Montreal, QC, Canada, December 15-16.

19. Tiné, M.*, Perez, L., Molowny, R. (2016). Les changements du territoire des milieux humides entre les 3e et 4e Inventaires Écoforestiers du Québec dans la région administrative de l’Abitibi-Témiscamingue-QC. QCBS Annual Symposium. Montreal, QC, Canada, December 15-16.