@mastersthesis{Vadnais2024,
author={Vadnais, J.},
school={Université de Montréal},
title={Applications de l?intelligence artificielle géospatiale (GéoIA) pour analyser les effets du paysage sur la santé des ruches},
year={2024},
note={CEFTMS, Perez, L. },
institution={Université de Montréal},
url={http://hdl.handle.net/1866/33888},
}
@inbook{SeuruPerezBurke2023,
author={Seuru, S. and Perez, L. and Burke, A.},
editor={Seuru, S. and Albouy, B.},
title={Why Were Rabbits Hunted in the Past? Insights from an Agent-Based Model of Human Diet Breadth in Iberia During the Last Glacial Maximum},
booktitle={Modelling Human-Environment Interactions in and beyond Prehistoric Europe},
year={2023},
address={Cham},
pages={107--123},
publisher={Springer International Publishing},
isbn={978-3-031-34336-0},
doi={https://doi.org/10.1007/978-3-031-34336-0_7},
}
@article{CoallierPerezFrancoEtAl2025,
author={Coallier, N. and Perez, L. and Franco, M.F. and Cuellar, Y. and Vadnais, J.},
journal={Communications Earth & Environment},
title={Poor air quality raises mortality in honey bees, a concern for all pollinators},
year={2025},
issn={2662-4435},
number={1},
pages={126},
volume={6},
doi={https://doi.org/10.1038/s43247-025-02082-x},
}
@article{MahdizadehGharakhanlouVadnaisPerezEtAl2025,
author={Mahdizadeh Gharakhanlou, N. and Vadnais, J. and Perez, L. and Coallier, N.},
journal={Ecological Informatics},
title={Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada},
year={2025},
issn={1574-9541},
pages={103296},
volume={90},
doi={https://doi.org/10.1016/j.ecoinf.2025.103296},
}
@article{MolownyHorasHaratiAslPerez2025,
author={Molowny-Horas, R. and Harati-Asl, S. and Perez, L.},
journal={Geo-spatial Information Science},
title={Understanding forest insect outbreak dynamics: a comparative analysis of machine learning techniques},
year={2025},
number={0},
pages={1--18},
volume={0},
publisher={Taylor \& Francis},
doi={https://doi.org/10.1080/10095020.2025.2529992},
}
@article{VadnaisPerezCoallier2025,
author={Vadnais, J. and Perez, L. and Coallier, N.},
journal={Journal of Environmental Management},
title={Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis},
year={2025},
note={Cited by: 0},
volume={374},
type={Article},
doi={https://doi.org/10.1016/j.jenvman.2025.124157},
}
@article{MahdizadehGharakhanlouPerezHenry2025,
author={Mahdizadeh Gharakhanlou, N. and Perez, L. and Henry, E.},
journal={Journal of Environmental Management},
title={Evaluating environmental, weather, and management influences for sustainable beekeeping in California and Quebec: Enhancing beehive survival predictions},
year={2025},
issn={0301-4797},
pages={123783},
volume={373},
doi={https://doi.org/10.1016/j.jenvman.2024.123783},
}
@article{MahdizadehGharakhanlouPerez2024,
author={Mahdizadeh Gharakhanlou, N. and Perez, L.},
journal={Science of the Total Environment},
title={From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change},
year={2024},
note={Cited by: 3; All Open Access, Hybrid Gold Open Access},
volume={951},
type={Article},
doi={https://doi.org/10.1016/j.scitotenv.2024.175764},
}
@article{ChuWuPerezEtAl2024,
author={Chu, H. and Wu, J. and Perez, L. and Huang, Y.},
journal={ISPRS International Journal of Geo-Information},
title={Exploring Family Ties and Interpersonal Dynamics—A Geospatial Simulation Analyzing Their Influence on Evacuation Efficiency within Urban Communities},
year={2024},
note={Cited by: 0; All Open Access, Gold Open Access},
number={7},
volume={13},
type={Article},
doi={https://doi.org/10.3390/ijgi13070258},
}
@article{SeuruBurkePerez2024,
author={Seuru, S. and Burke, A. and Perez, L.},
journal={Journal of Archaeological Science: Reports},
title={Evidence of an age and/or gender-based division of labor during the Last Glacial Maximum in Iberia through rabbit hunting},
year={2024},
note={Cited by: 0},
volume={56},
type={Article},
doi={https://doi.org/10.1016/j.jasrep.2024.104560},
}
@article{PerezCuellarGibbonsEtAl2024,
author={Perez, L. and Cuellar, Y. and Gibbons, J. and Pinilla Matamala, E. and Demers, S. and Capella, J.},
journal={Biology},
title={Mapping the Future: Revealing Habitat Preferences and Patterns of the Endangered Chilean Dolphin in Seno Skyring, Patagonia},
year={2024},
note={Cited by: 1; All Open Access, Gold Open Access, Green Open Access},
number={7},
volume={13},
type={Article},
doi={https://doi.org/10.3390/biology13070514},
}
@article{PerezSengupta2024,
author={Perez, L. and Sengupta, R.},
journal={Geography Compass },
title={Big Data (R)evolution in Geography: Complexity Modelling in the Last Two Decades},
year={2024},
note={Cited by: 0; All Open Access, Hybrid Gold Open Access},
number={11},
volume={18},
type={Article},
doi={https://doi.org/10.1111/gec3.70009},
}
@article{HaratiAslPerezMolownyHoras2024,
author={Harati-Asl, S. and Perez, L. and Molowny-Horas, R.},
journal={Geoscientific Model Development},
title={Learning from conceptual models–a study of the emergence of cooperation towards resource protection in a social–ecological system},
year={2024},
note={Cited by: 0},
number={20},
pages={7423 – 7443},
volume={17},
type={Article},
doi={https://doi.org/10.5194/gmd-17-7423-2024},
}
@article{MahdizadehGharakhanlouPerezCoallier2024,
author={Mahdizadeh Gharakhanlou, N. and Perez, L. and Coallier, N.},
journal={Remote Sensing},
title={Mapping Crop Types for Beekeepers Using Sentinel-2 Satellite Image Time Series: Five Essential Crops in the Pollination Services},
year={2024},
note={Cited by: 0},
number={22},
volume={16},
type={Article},
doi={https://doi.org/10.3390/rs16224225},
}
@MastersThesis{Demers2022,
title = {Modélisation spatiale du dauphin chilien (Cephalorhynchus eutropia) : le cas de Seno Skyring au Chili},
author = {Demers, S.},
school = {Université de Montréal},
year = {2022},
note = {CEFTMS, Perez, L.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/27462},
}
@MastersThesis{CuellarRoncancio2023,
title = {Modélisation, simulation et analyse des dynamiques spatiales des zones humides urbaines par automate cellulaire : une étude de cas à la ville de Bogota, Colombie},
author = {Cuellar Roncancio, C.R.},
school = {Université de Montréal},
year = {2023},
note = {CEFTMS, Perez, L.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/32079},
}
@PhdThesis{Harati2022,
title = {Towards simulating the emergence of environmentally responsible behavior among natural resource users : an integration of complex systems theory, machine learning and geographic information science},
author = {Harati, S.},
school = {Université de Montréal},
year = {2021},
note = {CEFTMS, Perez, L. and Molowny-Horas, R},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/27437},
}
@PhdThesis{Seuru2023,
title = {Portée de l’exploitation du lapin (Oryctolagus cuniculus) par les humains au Dernier Maximum Glaciaire dans la Péninsule Ibérique : intégration de la Optimal Foraging Theory avec la Modélisation à Base d’Agents},
author = {Seuru, S.},
school = {Université de Montréal},
year = {2023},
note = {CEFTMS, Burke, A. and Perez, L.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/32446},
}
@article{CuellarPerez2023,
author={Cuellar, Y. and Perez, L.},
journal={Geocarto International},
title={Assessing the accuracy of sensitivity analysis: an application for a cellular automata model of Bogota’s urban wetland changes},
year={2023},
number={1},
volume={38},
doi={https://doi.org/10.1080/10106049.2023.2186491},
}
@article{CuellarPerez2023,
author={Cuellar, Y. and Perez, L.},
journal={Scientific Reports},
title={Multitemporal modeling and simulation of the complex dynamics in urban wetlands: the case of Bogota, Colombia},
year={2023},
number={1},
volume={13},
doi={https://doi.org/10.1038/s41598-023-36600-8},
}
@article{MahdizadehGharakhanlouPerez2023,
author={Mahdizadeh Gharakhanlou, N. and Perez, L.},
journal={Journal of Hydrology},
title={Flood susceptible prediction through the use of geospatial variables and machine learning methods},
year={2023},
volume={617},
doi={https://doi.org/10.1016/j.jhydrol.2023.129121},
}
@MastersThesis{deOliveiraTine2018,
title = {Modélisation spatiale des changements dans les milieux humides ouverts par automate cellulaire : étude de cas sur la région administrative de l’Abitibi-Témiscamingue, au Québec, Canada},
author = {de Oliveira Tiné, M.},
school = {Université de Montréal},
year = {2018},
note = {CEFTMS, Perez, L. and Molowny-Horas, R},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/21271},
}
@MastersThesis{Gaudreau2015,
title = {Modélisation de répartition d’espèces aviaires et de feux en forêt boréale du Québec dans un contexte de changement climatique},
author = {Gaudreau, J.},
school = {Université de Montréal},
year = {2015},
note = {CEFTMS, Perez, L. and Drapeau, P.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/13765},
}
@MastersThesis{Gauvin-Bourdon2020,
title = {Modélisation complexe des interactions entre la végétation et le déplacement des sédiments},
author = {Gauvin-Bourdon, P.},
school = {Université de Montréal},
year = {2020},
note = {CEFTMS, King, J. and Perez, L.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/24222},
}
@MastersThesis{Katan2021,
title = {The prevalence of complexity in flammable ecosystems and the application of complex systems theory to the simulation of fire spread},
author = {Katan, J.},
school = {Université de Montréal},
year = {2021},
note = {CEFTMS, Perez, L.},
url = {https://papyrus.bib.umontreal.ca/xmlui/handle/1866/26492},
}
@MastersThesis{SauriRamirez2020,
title = {Effet du changement climatique et de la phénologie de l’arbre hôte sur l’étendue spatiale des épidémies de la tordeuse des bourgeons de l’épinette : une approche à base d’agents},
author = {Sauri Ramirez, J.},
school = {Université de Montréal},
year = {2020},
note = {CEFTMS, James, P.M.A. and Perez, L.},
}
@article{SeuruBurkePerez2021,
author={Seuru, S. and Burke, A. and Perez, L.},
journal={Trabajos de Prehistoria},
title={Rethinking the proportion of european rabbit (Oryctolagus cuniculus) in the diet of hunter-gatherers around the last glacial maximum in iberia; [Réflexions sur la proportion du lapin de garenne (Oryctolagus cuniculus) dans le régime alimentaire des chasseurs-cueilleurs autour du dernier maximum glaciaire en ibérie]; [Reflexiones sobre la proporción del conejo europeo (Oryctolagus cuniculus) en la dieta de los cazadores-recolectores en torno al último máximo glacial en iberia]},
year={2021},
note={Cited by: 1},
number={2},
pages={221 – 236},
volume={78},
type={Article},
doi={https://doi.org/10.3989/tp.2021.12273},
}
@article{MahdizadehGharakhanlouPerez2022,
author={Mahdizadeh Gharakhanlou, N. and Perez, L.},
journal={Entropy},
title={Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models},
year={2022},
note={Cited by: 0; All Open Access, Gold Open Access, Green Open Access},
number={11},
volume={24},
type={Article},
doi={https://doi.org/10.3390/e24111630},
}
@article{MahdizadehGharakhanlouPerez2022,
author={Mahdizadeh Gharakhanlou, N. and Perez, L.},
journal={ISPRS International Journal of Geo-Information},
title={Geocomputational Approach to Simulate and Understand the Spatial Dynamics of COVID-19 Spread in the City of Montreal, QC, Canada},
year={2022},
note={Cited by: 0; All Open Access, Gold Open Access},
number={12},
volume={11},
type={Article},
doi={https://doi.org/10.3390/ijgi11120596},
}
@Article{KatanPerez2021,
author = {Katan, J. and Perez, L.},
journal = {Natural Hazards and Earth System Sciences},
title = {ABWiSE v1.0: Toward an agent-based approach to simulating wildfire spread},
year = {2021},
note = {cited By 0},
number = {10},
pages = {3141-3160},
volume = {21},
abstract = {Wildfires are a complex phenomenon emerging from interactions between air, heat, and vegetation, and while they are an important component of many ecosystems' dynamics, they pose great danger to those ecosystems, as well as human life and property. Wildfire simulation models are an important research tool that help further our understanding of fire behaviour and can allow experimentation without recourse to live fires. Current fire simulation models fit into two general categories: empirical models and physical models. We present a new modelling approach that uses agent-based modelling to combine the complexity possible with physical models with the ease of computation of empirical models. Our model represents the fire front as a set of moving agents that respond to, and interact with, vegetation, wind, and terrain. We calibrate the model using two simulated fires and one real fire and validate the model against another real fire and the interim behaviour of the real calibration fire. Our model successfully replicates these fires, with a figure of merit on par with simulations by the Prometheus simulation model. Our model is a stepping-stone in using agent-based modelling for fire behaviour simulation, as we demonstrate the ability of agent-based modelling to replicate fire behaviour through emergence alone. © 2021 Jeffrey Katan.},
affiliation = {Laboratory of Environmental Geosimulation (LEDGE), Department of Geography, Université de Montréal, 1375, Avenue Thérèse Lavoie-Roux, Montreal, QC H2V 0B3, Canada},
document_type = {Article},
doi = {10.5194/nhess-21-3141-2021},
source = {Scopus},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117906319&doi=10.5194%2fnhess-21-3141-2021&partnerID=40&md5=84cf62ad5380d1e562b75d435333fca6},
}
@Article{HaratiPerezMolownyHorasEtAl2021,
author = {Harati, S. and Perez, L. and Molowny-Horas, R. and Pontius, R.G.},
journal = {Landscape Ecology},
title = {Validating models of one-way land change: an example case of forest insect disturbance},
year = {2021},
issn = {1572-9761},
number = {10},
pages = {2919-2935},
volume = {36},
abstract = {Context: Validation of models of Land Use and Cover Change often involves comparing maps of simulated and reference change. The interpretation of differences between simulated and reference change depends on the characteristics of the process being studied. Our paper focuses on validation of models of one-way land change processes that spread in space. Objectives: Our objective is to develop a method for validation of one-way land change models, such that the method provides objective information about the spatial distribution of errors. Methods: Using distance analysis on reference data, we build a baseline model for comparison with simulations. We then simultaneously compare the four maps of reference at initial time, reference at final time, simulation at final time, and baseline at final time. We also use Total Operating Characteristic curves and multiple-resolution map comparison. We illustrate the methods with a simulation of forest insect infestations. Results: The methods give insights concerning the reference data and the spatial distribution of misses, hits, and false alarms with respect to initial points of infestations. The new methods reveal that the simulations underestimated change near initial points of spread. Conclusions: The spatial distribution of errors is a topic of land change models that deserves attention. For models of one-way, geographically-spreading processes, we recommend that validation should distinguish between near and far allocation errors with respect to initial points of spread. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.},
url = {https://doi.org/10.1007/s10980-021-01272-0},
}
@Article{AndersonLeungDragicevicEtAl2021,
author = {Anderson, T. and Leung, A. and Dragicevic, S. and Perez, L.},
journal = {Transactions in GIS},
title = {Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent-based approach},
year = {2021},
number = {2},
pages = {948-967},
volume = {25},
abstract = {Abstract Long-term residential segregation can exacerbate social inequality and exclusion in urban populations. Existing models of segregation aim to represent and better understand drivers of segregation and assess possible segregation effects in response to incoming immigrant populations. However, these studies are not typically implemented on real geospatial data to represent the urban environment, and even less frequently compare patterns of segregation between cities. Therefore, the objective of this study is to implement an agent-based model that simulates the decision-making process of immigrants as they arrive and settle in three Canadian gateways for immigration, including the City of Toronto, the City of Calgary, and Metro Vancouver. The resulting simulated spatial patterns of segregation are visually compared to real data representing the location of hotspots of immigrants of various ethnic origins. The degree of segregation is measured and compared, with measures of segregation obtained from actual census data. The spatial patterns and degree of segregation are compared across the three study areas. The developed model has the potential to be used as a tool for knowledge discovery and decision-making in the processes of city planning.},
doi = {https://doi.org/10.1111/tgis.12712},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12712},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12712},
}
@Article{AndersonLeungPerezEtAl2021,
author = {Anderson, T. and Leung, A. and Perez, L. and Dragićević, S.},
journal = {Applied Spatial Analysis and Policy},
title = {Investigating the Effects of Panethnicity in Geospatial Models of Segregation},
year = {2021},
issn = {1874-4621},
number = {2},
pages = {273--295},
volume = {14},
abstract = {Social systems are inherently complex and can be represented using agent-based modelling (ABM) methods. Based on the innovative work of Thomas Schelling, ABMs are used to represent, analyze, and forecast emergent spatial-temporal dynamics of residential segregation. Segregation is modelled by representing the complex dynamics between individual agents with various socio-demographic profiles who self-organize into spatial clusters of alike individuals. Agents are typically classified into broad panethnic categories such as “Asian” or “Hispanic”, however these categories group together individuals from a very large number of countries that are ethnically and economically distinct and thus have diverse settlement patterns. Therefore, the objective of this study is to implement an ABM that simulates the spatio-temporal dynamics of segregation that emerge from interactions between incoming immigrants who are classified at two different levels of aggregation. At the aggregate level, ethnic groups are defined based on typical broad panethnic categories. At the disaggregate level, the “Asian” category is further disaggregated. The ABM is implemented to simulate processes leading to segregation in the City of Toronto and Metro Vancouver using actual geospatial and census data. The simulated spatial patterns of segregation are compared with actual census data that records the real settlement patterns of immigrants of various ethnicities. In addition, the degree of segregation is quantified and compared with the degree of segregation measured from the actual census data. Results show that both the spatial patterns of segregation and the measure of segregation are significantly influenced by the level of aggregation of the various ethnicities. The presented research has the potential to contribute to policy-planning and decision-making by assisting city planners and policymakers in mitigating persistent residential segregation.},
doi = {10.1007/s12061-020-09355-2},
owner = {Luc},
refid = {Anderson2021},
url = {https://doi.org/10.1007/s12061-020-09355-2},
}
@Article{HaratiPerezMolownyHoras2021,
author = {Harati, S. and Perez, L. and Molowny-Horas, R.},
title = {Promoting the Emergence of Behavior Norms in a Principal–Agent Problem—An Agent-Based Modeling Approach Using Reinforcement Learning},
doi = {10.3390/app11188368},
issn = {2076-3417},
number = {18},
url = {https://www.mdpi.com/2076-3417/11/18/8368},
volume = {11},
abstract = {One of the complexities of social systems is the emergence of behavior norms that are costly for individuals. Study of such complexities is of interest in diverse fields ranging from marketing to sustainability. In this study we built a conceptual Agent-Based Model to simulate interactions between a group of agents and a governing agent, where the governing agent encourages other agents to perform, in exchange for recognition, an action that is beneficial for the governing agent but costly for the individual agents. We equipped the governing agent with six Temporal Difference Reinforcement Learning algorithms to find sequences of decisions that successfully encourage the group of agents to perform the desired action. Our results show that if the individual agents’ perceived cost of the action is low, then the desired action can become a trend in the society without the use of learning algorithms by the governing agent. If the perceived cost to individual agents is high, then the desired output may become rare in the space of all possible outcomes but can be found by appropriate algorithms. We found that Double Learning algorithms perform better than other algorithms we used. Through comparison with a baseline, we showed that our algorithms made a substantial difference in the rewards that can be obtained in the simulations.},
article-number = {8368},
journal = {Applied Sciences},
owner = {Luc},
year = {2021},
}
@Article{PatelKatanPerezEtAl2021,
author = {Patel, J. and Katan, J. and Perez, L. and Sengupta, R.},
journal = {Transactions in GIS},
title = {Transferring decision boundaries onto a geographic space: Agent rules extracted from movement data using classification trees},
year = {2021},
number = {3},
pages = {1176-1192},
volume = {25},
abstract = {Abstract We leverage applied machine learning to determine which environmental features are best associated with the “moving” behaviour(s) of a troop of olive baboons (Papio anubis; collared with GPS trackers at Mpala Research Centre, Kenya). Specifically, we develop a behaviour-selection surface informed by classification trees trained using movement trajectories and remotely sensed environmental features. Atop this surface, we simulate agent movement towards set destinations, constrained by the relative extent to which sets of features are associated with behaviour(s). To achieve our goal, we perform: (a) path segmentation using thresholding to label training data; (b) agent-rule extraction using classification trees to associate the relative Euclidean distance of a point from environmental features with behaviour; and (c) implementation of this information into an agent-based model to provide a data-driven simulation of troop movement. We believe this framework can accommodate intensifications in data velocity, veracity, volume, and variety expected from increasingly sophisticated biologgers and data-fusion techniques.},
doi = {https://doi.org/10.1111/tgis.12770},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12770},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12770},
}
@Article{GauvinBourdonKingPerez2021,
author = {Gauvin-Bourdon, P. and King, J. and Perez, L.},
journal = {Earth Surface Dynamics},
title = {Impacts of grazing on vegetation dynamics in a sediment transport complex model},
year = {2021},
number = {1},
pages = {29-45},
volume = {9},
doi = {10.5194/esurf-9-29-2021},
url = {https://esurf.copernicus.org/articles/9/29/2021/},
}
@Article{OliveiraTinePerezMolownyHoras2020,
author = {de Oliveira Tiné, M. and Perez, L. and Molowny-Horas, R.},
journal = {Revista Cartográfica},
title = {Modelagem das mudanças espaço-temporais de áreas úmidas: estudo de caso da Região Administrativa de Abitibi-Témiscamingue – Québec, Canadá},
year = {2020},
number = {101},
pages = {119-134},
doi = {https://doi.org/10.35424/rcarto.i101.672},
owner = {Luc},
}
@Article{TinePerezMolownyHoras2019,
author = {Tiné, M. and Perez, L. and Molowny-Horas, R.},
journal = {Revista Contexto Geográfico},
title = {Fundamentos teóricos de modelagem em Sistemas Complexos},
year = {2019},
number = {7},
pages = {111-120},
volume = {4},
doi = {https://doi.org/10.28998/contegeo.v4i7.8363 },
owner = {Luc},
}
@Article{HaratiPerezMolownyHoras2020,
author = {Harati, S. and Perez, L. and Molowny-Horas, R.},
journal = {Forests},
title = {Integrating Neighborhood Effect and Supervised Machine Learning Techniques to Model and Simulate Forest Insect Outbreaks in British Columbia, Canada},
year = {2020},
issn = {1999-4907},
number = {11},
volume = {11},
abstract = {Background and Objectives: Modelling and simulation of forest land cover change due to epidemic insect outbreaks are powerful tools that can be used in planning and preparing strategies for forest management. In this study, we propose an integrative approach to model land cover changes at a provincial level, using as a study case the simulation of the spatiotemporal dynamics of mountain pine beetle (MPB) infestation over the lodgepole pine forest of British Columbia (BC), Canada. This paper aims to simulate land cover change by applying supervised machine learning techniques to maps of MPB-driven deforestation. Materials and Methods: We used a 16-year series (1999–2014) of spatial information on annual mortality of pine trees due to MPB attacks, provided by the BC Ministry of Forests. We used elevation, aspect, slope, ruggedness, and weighted neighborhood of infestation as predictors. We implemented (a) generalized linear regression (GLM), and (b) random forest (RF) algorithms to simulate forestland cover changes due to MPB between 2005 and 2014. To optimize the ability of our models to predict MPB infestation in 2020, a cross-validation procedure was implemented. Results: Simulating infestations from 2008 to 2014, RF algorithms produced less error than GLM. Our simulations for the year 2020 confirmed the predictions from the BC Ministry of Forest by forecasting a slower rate of spread in future MPB infestations in the province. Conclusions: Integrating neighborhood effects as variables in model calibration allows spatiotemporal complexities to be simulated.},
article-number = {1215},
doi = {10.3390/f11111215},
owner = {Luc},
url = {https://www.mdpi.com/1999-4907/11/11/1215},
}
@Article{PerezDragicevicGaudreau2019,
author = {Perez, L. and Dragicevic, S. and Gaudreau, J.},
title = {A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada},
journal = {PLOS ONE},
year = {2019},
volume = {14},
number = {7},
note = {cited By 0},
abstract = {Residential segregation into spatial neighborhoods and boroughs is a well-known spatial dynamic process that characterise complex urban environments. Existing models of segregation, including the pioneering Schelling ones, often do not consider all the factors that can contribute to this process. Segregation as well as aggregation emerges from local interactions among individuals, and is rooted in the complexity of social, economic and environmental interactions. The main objective of this study is to develop and implement a geospatial agent-based model to simulate the decision-making process of location of new household for incoming immigrant populations. Particularly this study aims to simulate and analyse the dynamics of the new immigrant populations arriving in the bilingual cities and boroughs of the island of Montreal. The model was implemented in NetLogo software, using real geospatial datasets. The obtained simulation results indicate realistic spatial patterns of spatial composition of the ethnographic fabric on the island of Montreal. The proposed model has the potential to be used as part of the city planning purposes. © 2019 Perez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
affiliation = {Department of Geography, Laboratory of Environmental Geosimulation (LEDGE), Université de Montréal, Montreal, QC, Canada; Department of Geography, Spatial Analysis and Modeling Lab, Faculty of Environment, Simon Fraser University, Burnaby, BC, Canada},
art_number = {e0219188},
document_type = {Article},
doi = {10.1371/journal.pone.0219188},
source = {Scopus},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069697760&doi=10.1371%2fjournal.pone.0219188&partnerID=40&md5=056b4e19e8b347403ad82ab5994a97f9},
}
@Article{Quesada-RuizPerezRodriguez-Galiano2019,
author = {Quesada-Ruiz, L.C. and Perez, L. and Rodriguez-Galiano, V.},
title = {Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria},
journal = {Science of the Total Environment},
year = {2019},
volume = {687},
pages = {104-117},
note = {cited By 0},
abstract = {Illegal landfills are the source of many impacts that can alter the environment and represent a public health risk. This study investigates their spatiotemporal distribution in two representative areas of Gran Canaria: northwest (Zone A) and east (Zone B). Illegal landfill occurrence was simulated between 2000 and 2018, to estimate and spatially locate the surface growth of illegal landfills based on cellular automata, cellular automata-Markov and multiobjective land allocation models. The proliferation of illegal landfills in 2018 was simulated following the calibration and validation of the proposed models. Models' accuracy was assessed using Kappa index and landscape metrics. The cellular automata-Markov model had the best performance. The model simulations predicted an increase of 52.3 ha and 81.5 ha affected by illegal landfills in Zone A and Zone B for 2018, respectively. The interannual growth rate of surfaces affected by illegal landfills for the period between 2000 and 2006 was 4.5% and 9.5% and between 2006 and 2012 it was 6.6% and 6.7%, for Zone A and Zone B respectively. The growth of illegal landfills between 2000 and 2006 was higher in urban areas, construction sites, and industrial zones, and may be closely related to the process of urban expansion linked to the real estate boom. The latter would have a deep impact on the landscape due to the proliferation of illegal construction and demolition waste. The growth rate of illegal landfills in urban environments fell during the later period of urban expansion. Overall, simulation outputs showed the model's ability to correctly reproduce the distribution patterns for illegal landfill proliferation. Even though the simulated spatial location of illegal landfills was not highly accurate, the models built in this study provide an informative tool to policy makers to aid the process creating policies for environmental protection as well as territorial planning. © 2019},
affiliation = {Department of Physical Geography and Regional Geographical Analysis, University of Seville, Seville, Spain; Department of Geography, University of Montreal, Montreal, Canada},
author_keywords = {Cellular automata; Illegal landfill occurrence; Land change modelling; Logistic regression; Markov models},
document_type = {Article},
doi = {10.1016/j.scitotenv.2019.06.079},
source = {Scopus},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067208723&doi=10.1016%2fj.scitotenv.2019.06.079&partnerID=40&md5=052afd73dca58dccbab8688993668073},
}
@Article{TinePerezMolowny-Horas2019,
author = {Tine, M. and Perez, L. and Molowny-Horas, R.},
title = {Hybrid spatiotemporal simulation of future changes in open wetlands: A study of the Abitibi-Témiscamingue region, Québec, Canada},
journal = {International Journal of Applied Earth Observation and Geoinformation},
year = {2019},
volume = {74},
pages = {302-313},
note = {cited By 0},
abstract = {Among the most productive ecosystems around the world, wetlands support a wide range of biodiversity such as waterfowl, fish, amphibians, plants and many other species. They also provide ecosystem services that play important roles in relation to nutrient cycling, climate mitigation and adaptation, as well as food security. In this research, we examined and projected the spatiotemporal trends of change in open wetlands by coupling logistic regression, Markov chain methods and a multi-objective land allocation model into a hybrid geosimulation model. To study the changes in open wetlands we used multi-temporal land cover information interpreted from LANDSAT images (1985, 1995, and 2005). We predicted future spatial distributions of open wetlands in the administrative region of Abitibi-Témiscamingue, Quebec, Canada for 2015, 2025, 2035, 2045 and 2055. A comparison and assessment of the model's outcomes were performed using map-comparison techniques as well as landscape metrics. Change analysis between 1985 and 2005 showed an increase of about 63% in open wetlands, while simulation results indicated that this tendency would persist into 2055 with a continuous augmentation of open wetlands in the region. The spatial distribution of predicted trends in open wetlands could provide support to local biodiversity assessments, management and conservation planning of the open wetlands in Quebec, Canada. © 2018 Elsevier B.V.},
affiliation = {Laboratory of Environmental Geosimulation (LEDGE), Department of Geography, Université de Montréal, Pavillon 520, Chemin de la Côte-Sainte-Catherine, Montreal, QC H2V 2B8, Canada; CREAF, Cerdanyola del Vallès, 08193, Spain},
author_keywords = {Logistic regression; Markov-chain; Multi-objective optimization; Open wetlands; Spatiotemporal modelling},
document_type = {Article},
doi = {10.1016/j.jag.2018.10.001},
source = {Scopus},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062895320&doi=10.1016%2fj.jag.2018.10.001&partnerID=40&md5=c3441f394d961a3a3eb191bc8561ab76},
}
@Article{GaudreauPerezHarati2018,
author = {Gaudreau, J. and Perez, L. and Harati, S.},
title = {Towards modelling future trends of Quebec’s boreal birds’ species distribution under climate change},
journal = {Canadian Historical Review},
year = {2018},
volume = {7},
number = {9},
note = {cited By 0},
abstract = {Adaptation to climate change requires prediction of its impacts, especially on ecosystems. In this work we simulated the change in bird species richness in the boreal forest of Quebec, Canada, under climate change scenarios. To do so, we first analyzed which geographical and bioclimatic variables were the strongest predictors for the spatial distribution of the current resident bird species. Based on canonical redundancy analysis and analysis of variance, we found that annual temperature range, average temperature of the cold season, seasonality of precipitation, precipitation in the wettest season, elevation, and local percentage of wet area had the strongest influence on the species’ distributions. We used these variables with Random Forests, Multivariate Adaptive Regression Splines and Maximum Entropy models to explain spatial variations in species abundance. Future species distributions were calculated by replacing present climatic variables with projections under different climate change pathways. Subsequently, maps of species richness change were produced. The results showed a northward expansion of areas of highest species richness towards the center of the province. Species are also likely to appear near James Bay and Ungava Bay, where rapid climate change is expected. © 2018 by the authors.},
affiliation = {Laboratory of Environmental Geosimulation (LEDGE), Department of Geography, University of Montreal, Chemin de la Côte-Sainte-Catherine, Pavillon 520, Montreal, QC H2V 2B8, Canada},
art_number = {335},
author_keywords = {Bioclimatic modelling; Biogeography; Boreal Quebec; Climate change; Ecological change; Random forest (RF); Redundancy analysis (RDA); Species richness},
document_type = {Article},
doi = {10.3390/ijgi7090335},
source = {Scopus},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053281631&doi=10.3390%2fijgi7090335&partnerID=40&md5=11b42a4ba1692e54eeb89d00d25dda0c},
}
@InCollection{HebertPerezHarati2018,
author = {Hébert, G.A. and Perez, L. and Harati, S.},
title = {An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria},
booktitle = {Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. Advances in Geographic Information Science.},
publisher = {Springer},
year = {2018},
editor = {Perez L., Kim EK., Sengupta R.},
pages = {45-5},
}
@Book{PerezKimSengupta2018,
title = {Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. Series: Advances in Geographic Information Science Series.},
publisher = {Springer},
year = {2018},
author = {Perez, L. and Kim, E.K., and Sengupta, R.},
editor = {Perez, L. and Kim, E.K., and Sengupta, R.},
}
@Article{GaudreauPerezHarati2018,
author = {Gaudreau, J. and Perez, L. and Harati, S.},
title = {Towards Modelling Future Trends of Quebec’s Boreal Birds’ Species Distribution under Climate Change},
journal = {ISPRS International Journal of Geo-Information},
year = {2018},
volume = {7},
number = {9},
issn = {2220-9964},
abstract = {Adaptation to climate change requires prediction of its impacts, especially on ecosystems. In this work we simulated the change in bird species richness in the boreal forest of Quebec, Canada, under climate change scenarios. To do so, we first analyzed which geographical and bioclimatic variables were the strongest predictors for the spatial distribution of the current resident bird species. Based on canonical redundancy analysis and analysis of variance, we found that annual temperature range, average temperature of the cold season, seasonality of precipitation, precipitation in the wettest season, elevation, and local percentage of wet area had the strongest influence on the species’ distributions. We used these variables with Random Forests, Multivariate Adaptive Regression Splines and Maximum Entropy models to explain spatial variations in species abundance. Future species distributions were calculated by replacing present climatic variables with projections under different climate change pathways. Subsequently, maps of species richness change were produced. The results showed a northward expansion of areas of highest species richness towards the center of the province. Species are also likely to appear near James Bay and Ungava Bay, where rapid climate change is expected.},
article-number = {335},
doi = {10.3390/ijgi7090335},
url = {http://www.mdpi.com/2220-9964/7/9/335},
}
@ARTICLE{PerezNelsonCoopsEtAl2016,
author = {Perez, L. and Nelson, T. and Coops, N.C. and Fontana, F. and Drever,
C.R.},
title = {Characterization of spatial relationships between three remotely
sensed indirect indicators of biodiversity and climate: a 21years'
data series review across the Canadian boreal forest},
journal = {International Journal of Digital Earth},
year = {2016},
pages = {1-21},
abstract = {Climate drives ecosystem processes and impacts biodiversity.
Biodiversity patterns over large areas, such as Canada's boreal,
can be monitored using indirect indicators derived from remotely
sensed imagery. In this paper, we characterized the historical space–time
relationships between climate and a suite of indirect indicators
of biodiversity, known as the Dynamic Habitat Index (DHI) to identify
where climate variability is co-occurring with changes in biodiversity
indicators. We represented biodiversity using three indirect indicators
generated from 1987 to 2007 National Oceanic and Atmospheric Administration
Advanced Very High Resolution Radiometer images. By quantifying and
clustering temporal variability in climate data, we defined eight
homogeneous climate variability zones, where we then analyzed the
DHI. Results identified unique areas of change in climate, such as
the Hudson Plains, that explain significant variations in DHI. Past
variability in temperatures and growing season index had a strong
influence on observed vegetation productivity and seasonality changes
throughout Canada's boreal. Variation in precipitation, for most
of the area, was not associated with DHI changes. The methodology
presented here enables assessment of spatial–temporal relationships
between biodiversity and climate variability and characterizes distinctive
zones of variation that may be used for prioritization and planning
to ensure long-term biodiversity conservation in Canada. },
doi = {10.1080/17538947.2015.1116623},
eprint = { http://dx.doi.org/10.1080/17538947.2015.1116623 },
url = { http://dx.doi.org/10.1080/17538947.2015.1116623 }
}
@ARTICLE{GaudreauPerezDrapeau2016,
author = {Gaudreau, J. and Perez, L. and Drapeau, P.},
title = {BorealFireSim: A GIS-based cellular automata model of wildfires for
the boreal forest of Quebec in a climate change paradigm},
journal = {Ecological Informatics},
year = {2016},
volume = {32},
pages = {12-27},
note = {cited By 0},
abstract = {Wildfires are the main cause of forest disturbance in the boreal forest
of Canada. Climate change studies forecast important changes in fire
cycles, such as increases in fire intensity, severity, and occurrence.
The geographical information system (GIS) based cellular automata
model, BorealFireSim, serves as a tool to identify future fire patterns
in the boreal forest of Quebec, Canada. The model was calibrated
using 1950-2010 climate data for the present baseline and forecasts
of burning probability up to 2100 were calculated using two RCP scenarios
of climate change. Results show that, with every scenario, the mean
area burned will likely increase on a provincial scale, while some
areas might expect decreases with a low emission scenario. Comparison
with other models shows that areas forecasted to have an increase
in fire likelihood, overlap with predicted areas of higher vegetation
productivity. The results presented in this research aid identifying
key areas for fire-dependent species in the near future. © 2015
Elsevier B.V..},
author_keywords = {Cellular automata; Climate change; Complexity; GIS; Modeling; Wildfires},
document_type = {Article},
doi = {10.1016/j.ecoinf.2015.12.006},
source = {Scopus},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84954234995&partnerID=40&md5=8befb230f19ada512768ac1fdcc4eb1e}
} @ARTICLE{PerezNelsonBourbonnaisEtAl2015,
author = {Perez, L. and Nelson, T.A. and Bourbonnais, M. and Ostry, A.},
title = {Modelling the Potential Impact of Climate Change on Agricultural
Production in the Province of British Columbia},
journal = {Energy and Environment Research},
year = {2015},
volume = {5},
pages = {49-62},
number = {1},
abstract = {The goal of this research was to model the potential impact of climate
change on food production, in the FraserValley and Peace River regions
of British Columbia (BC), using historical crop yield and climate
data. Weidentified eight indicator crops of importance for these
regions of BC and utilized historical Census ofAgriculture and climate
data (temperature and precipitation) to model future potential impacts
of climate changeon agriculture. We developed three climate change
scenarios for these eight indicators crops (extreme, moderate,and
business as usual). Under the most extreme climate model scenario
the Fraser Valley is expected toexperience cooler summers and springs
and wetter summers, with incremental increases in oat, blueberry
andgreen bean yields by 2050. These same climate conditions were
predicted to decrease the yields for raspberrycrops by 2050, while
barley and wheat crop yields remain steady. The business as usual
scenario, where springsand summers are warmer and summers are wetter
in the Fraser Valley, predicted increased barley, oat, wheat, andblueberry
crop yields by 2050, while yields of raspberries were predicted to
decrease and green bean yields areexpected to be steady. Under the
more conservative climate change scenario conditions, yields should
remainsteady for all crops, except green beans where yields will
increase by 2050. Future climate conditions for thePeace River area
were much different from the Fraser Valley. All three scenarios forecasted
warmer and wettersprings and summers with decreased evapotranspiration
and moisture deficits. These changes in climateconditions predicted
declines in wheat, canola, and barley crop yields by 2050, while
incremental increases inoat and dry pea crop yields could be expected
by 2050.},
doi = {10.5539/eer.v5n1p49},
owner = {Luc},
timestamp = {2015.10.06},
url = {http://www.ccsenet.org/journal/index.php/eer/article/view/47438/25599}
} @PHDTHESIS{Perez2011,
author = {Perez, L.},
title = {Approaches for modeling spatial dynamics of forest insect disturbance:
the integration of GIScience, complex systems theory and swarming
intelligence},
school = {Simon Fraser University},
year = {2011},
abstract = {Forest ecological systems are constantly changed by natural disturbances
such as insect infestations, fires and diseases among others. These
events can result in tree mortality over areas of several thousand
hectares. In western Canada, including the province of British Columbia,
extensive outbreaks of mountain pine beetle (MPB) have been occurring
during the last decade, raising concerns about the health of these
forests and the ability to deal with these issues. For this reason,
the development of forest insect infestation models has become an
active research topic for scientist from many different disciplines,
and geography is not apart from this issue. The insect disturbance
phenomenon is a complex process that is inherently linked to space
and time. Interactions between insects such as the MPB and the forest
ecosystem display a wide variety of complex system properties. Accordingly,
complex landscape patterns of tree mortality emerge from interacting
MPB individuals that act at local host tree levels. Complex systems
theory modeling approaches such as cellular automata (CA) and agent-based
modeling (ABM), allow simulations of spatial interactions, which
can describe the ecological context in which insect populations spread.
The objective of this research is to develop and implement several
spatio-temporal modeling approaches that are based on the integration
of complex systems theory, swarming intelligence (SI) and geographic
information systems (GIS). In particular, this dissertation introduces
novel modeling approaches for generating forest patterns emerging
from MPB disturbance. MPB behaviours observed in nature are simulated
using SI algorithms that depict their indirect communication, collective
behaviour and self-organized aggregation in a forest ecosystem. Thesis
findings demonstrate that forest patterns of MPB disturbance can
be realistically depicted and simulated when collective aggregation
behaviour of MPB, forest structure and spatial dynamics within the
system are considered and analyzed simultaneously. Approaches are
implemented in the context of MPB disturbance in British Columbia,
Canada. This dissertation presents novel contributions to the study
of the dynamic changes of forest cover resulting from forest insect
infestations by means of complex systems theory, swarming intelligence
and GIS. The thesis main contributions are in the fields of GIScience,
Landscape Ecology, Environmental Resource Management and Geography.},
owner = {Luc},
timestamp = {2015.10.06},
url = {http://summit.sfu.ca/system/files/iritems1/11573/etd6458_LPerez.pdf}
} @ARTICLE{GaudreauPerezLegendre2015,
author = {Gaudreau, J. and Perez, L. and Legendre, P.},
title = {Identification of variables explaining the spatial distribution of
birds in the boreal forest and modeling of future trends: A multivariate
approach [Identification des variables expliquant la distribution
spatiale d'oiseaux de la forêt boréale et modélisation de tendances
futures: Une approche multivariée]},
journal = {CyberGeo},
year = {2015},
volume = {2015},
pages = {1181-1204},
note = {cited By 0},
abstract = {Climate is getting more significant in the study of population dynamics.
Experts agree on the fact that climate change will likely be one
of the main drivers of ecological change in upcoming decades. The
goal of this research is to identify the main drivers of Québec
boreal bird species distribution, in order to generate models of
future spatial distributions under different climate scenarios. For
this purpose two multivariate approaches are employed (Redundancy
Canonical Analysis - RDA - and variation partitioning). A total of
39 bird species are selected as well as bioclimatic variables, anthropic
disturbances, forest cover and elevation. Bioclimatic variables explain
53[%] of the variation in species distribution, while resource variables,
comprising elevation and percentage of wet areas, are responsible
of 5[%] and anthropic variables of 1[%]. Model results for two species
confirm the hypothesis that the spatial distribution of boreal birds
will be deeply modified by climate change and that the birds will
likely move towards higher latitude or altitude, following the warming
intensity. © CNRS-UMR Géographie-cités 8504.},
document_type = {Article},
keywords = {Aves},
source = {Scopus},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84929377823&partnerID=40&md5=179dc85b71df54e4fdb7f5fc19bcadc9}
}
@ARTICLE{NelsonCoopsWulderEtAl2014,
author = {Nelson, T.A. and Coops, N.C. and Wulder, M.A. and Perez, L. and Fitterer,
J. and Powers, R. and Fontana, F.},
title = {Predicting climate change impacts to the canadian boreal forest},
journal = {Diversity},
year = {2014},
volume = {6},
pages = {133-157},
number = {1},
abstract = {Climate change is expected to alter temperature, precipitation, and
seasonality with potentially acute impacts on Canada's boreal. In
this research we predicted future spatial distributions of biodiversity
in Canada's boreal for 2020, 2050, and 2080 using indirect indicators
derived from remote sensing and based on vegetation productivity.
Vegetation productivity indices, representing annual amounts and
variability of greenness, have been shown to relate to tree and wildlife
richness in Canada's boreal. Relationships between historical satellite-derived
productivity and climate data were applied to modelled scenarios
of future climate to predict and map potential future vegetation
productivity for 592 regions across Canada. Results indicated that
the pattern of vegetation productivity will become more homogenous,
particularly west of Hudson Bay. We expect climate change to impact
biodiversity along north/south gradients and by 2080 vegetation distributions
will be dominated by processes of seasonality in the north and a
combination of cumulative greenness and minimum cover in the south.
The Hudson Plains, which host the world's largest and most contiguous
wetland, are predicted to experience less seasonality and more greenness.
The spatial distribution of predicted trends in vegetation productivity
was emphasized over absolute values, in order to support regional
biodiversity assessments and conservation planning. © 2014 by the
authors.},
comment = {Export Date: 8 April 2014
Source: Scopus},
owner = {Luc},
timestamp = {2014.04.08},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84896945053&partnerID=40&md5=a5cdc63bad2a83bad91bc3faaa3c87f2}
}
@BOOK{Perez2001,
title = {Radarsat System: Methodological Proposal for the Implementation of
the Radarsat System in the Curricular Program of Cadastre and Geodesy
Engineering},
year = {2001},
author = {Perez, L.},
owner = {Luc},
timestamp = {2014.02.17}
} @ARTICLE{PerezDragicevicWhite2013,
author = {Perez, L. and Dragicevic, S. and White, R.},
title = {Model testing and assessment: Perspectives from a swarm intelligence,
agent-based model of forest insect infestations},
journal = {Computers, Environment and Urban Systems},
year = {2013},
volume = {39},
pages = {121-135},
abstract = {Model testing procedures represent a major challenge in the development
of agent-based models (ABMs). However, they are required stages for
a model to be accepted and to serve as a forecasting, management
or decision-making tool. This study presents a comprehensive approach
for testing ForestSimMPB, an agent-based model (ABM) designed to
simulate mountain pine beetle (MPB), Dendroctonus ponderosae Hopkins,
outbreaks at the scale of individual trees. ForestSimMPB is a complex
system model that is using swarming intelligence, capable to represent
individuals' behaviours and spatial interactions that influence their
surrounding environment. Swarm Intelligence (SI) methods are integrated
into the ABM in order to reproduce the collective reasoning and indirect
communication of autonomous agents representing MPB behaviour within
the forest environment. Model testing approach consist of verification,
calibration, sensitivity analysis, validation and qualification stages.
Model testing is accomplished by simulating MPB infestations using
both the ForestSimMPB model and a Random-ABM model that serves as
a null model. Outcomes comparison and assessment are performed using
raster-based techniques as well as spatial metrics. Aerial photographs
of the British Columbia, Canada study sites are used in this model
testing approach. Results indicate that ForestSimMPB model representations
of MPB outbreaks are more similar than Random model representations
to the spatial distribution of MPB-dead trees. © 2012 Elsevier Ltd.},
address = {Department of Geography, Memorial University of Newfoundland, St.
John's, NL, Canada},
comment = {Export Date: 18 February 2014
Source: Scopus},
keywords = {Agent-based models, Calibration, Swarm intelligence, Validation, Verification},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84877629907&partnerID=40&md5=07e3004e4196e930ab827477c298e4eb}
} @ARTICLE{PerezDragicevic2012,
author = {Perez, L. and Dragicevic, S.},
title = {Landscape-level simulation of forest insect disturbance: Coupling
swarm intelligent agents with GIS-based cellular automata model},
journal = {Ecological Modelling},
year = {2012},
volume = {231},
pages = {53-64},
abstract = {Forest insect disturbances have an ecological impact and are the cause
of partial or complete stands mortality; hence they influence the
forest cover change. The modeling of ecological processes such as
insect disturbance is challenging due to the complexity of insect
outbreaks in forest ecological systems, thus diverse spatial scales
need to be considered in order to effectively represent these dynamic
spatial phenomena. The objective of the study is to develop a hybrid
model that combines swarm intelligence (SI), agent-based modeling
(ABM) and cellular automata (CA) with geographic information systems
(GIS) for simulating tree mortality patterns introduced by insect
infestations at a landscape spatial scale. The focus is on lodgepole
pine, Pinus contorta, tree mortality patterns caused by infestations
of mountain pine beetle (MPB), Dendroctonus ponderosae Hopkins. The
complexity of the insects' behavior during forest disturbances can
be captured and simulated by an intelligent ABM. Agents represent
insects that have the ability to behave and adapt according to their
interactions within the forest environment at a very fine spatial
scale at tree-level, and with the use of swarming intelligence approach.
However, due to computational complexity such model is not operational
at landscape and regional spatial scales where the consequences of
infestation phenomenon are most obvious. Therefore, the integration
of the ABM with CA approach is proposed to handle modeling at both
fine and large spatial scales. The discrete nature of CA enables
integration with raster-based geospatial datasets in GIS, and can
also be beneficial when modeling complex ecological processes that
evolve over time. The developed model includes factors such as wind
directions and elevation to demonstrate their influence in the spread
patterns of the outbreaks at a landscape spatial scale. The model
outcomes provide "what if" scenarios that can assist studying and
controlling MPB forest disturbance. © 2012 Elsevier B.V.},
address = {Spatial Analysis and Modeling Laboratory, Department of Geography,
Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A
1S6, Canada},
comment = {Cited By (since 1996):1
Export Date: 18 February 2014
Source: Scopus},
keywords = {Agent-based model, Cellular automata, Forest disturbances, Mountain
pine beetle (MPB), Spatiotemporal modeling, Swarm intelligence},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84857403503&partnerID=40&md5=6bc35fdfa92894ebafee84edf3913a3c}
}@ARTICLE{PerezDragicevic2011,
author = {Perez, L. and Dragicevic, S.},
title = {ForestSimMPB: A swarming intelligence and agent-based modeling approach
for mountain pine beetle outbreaks},
journal = {Ecological Informatics},
year = {2011},
volume = {6},
pages = {62-72},
number = {1},
abstract = {The widespread outbreaks of Mountain Pine Beetle (MPB) are responsible
for infestations of lodgepole pine forests since 1990 in Canada.
In British Columbia, this forest insect disturbance has resulted
in losses of more than 13. million hectares of pine trees. The complexity
of the MPB emergence, aggregation and attack behaviour is captured
by this study, using an intelligent agent-based model (ABM) of beetle
outbreaks at a local scale of individual trees. Agent-based approach
permits simulation of interactions that describe the ecological context
in which insect populations spread. Intelligent reasoning is introduced
by a swarm intelligence (SI) algorithm integrated with the ABM that
depicts indirect communication, collective behaviour and self-organized
aggregation of insects in a forest ecosystem. The objectives of this
study are the following: 1) to develop ForestSimMPB model that integrates
SI and ABM within a geographic information systems (GIS) framework;
2) to implement the proposed model on real datasets to simulate the
MPB aggregation and mass attacks on lodgepole pine trees; and 3)
to determine the spatial patterns and extents of these attacks. The
ForestSimMPB is calibrated by fine tuning two model parameters, and
implemented using data from three sites located in the Cariboo Regional
District in the central interior of BC. The obtained results demonstrate
the aggregation behaviour of MPB to collectively attack lodgepole
pines, as well as portray the spatial clustering of dead trees resulting
from infestation. Simulation outputs provide analysis and predictions
of spatial patterns in the forest landscape structure as a result
of a MPB outbreak. The developed model can be used to assist the
improvement of methods for prevention and control of MPB disturbances.
© 2010 Elsevier B.V.},
address = {Spatial Analysis and Modeling Laboratory, Department of Geography,
Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A
1S6, Canada},
comment = {Cited By (since 1996):6
Export Date: 18 February 2014
Source: Scopus},
keywords = {Agent-based Models (ABM), Complex Systems Modeling, Forest disturbances,
Geographic Information Systems (GIS), Mountain Pine Beetle (MPB),
Swarm Intelligence (SI)},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79651471518&partnerID=40&md5=5f1e23aaaaf3265f08f5db1fdee31d8c}
} @INPROCEEDINGS{PerezDragicevic2010a,
author = {Perez, L. and Dragicevic, S.},
title = {Exploring forest management practices using an agent-based model
of forest insect infestations},
booktitle = {Modelling for Environment's Sake: Proceedings of the 5th Biennial
Conference of the International Environmental Modelling and Software
Society, iEMSs 2010},
year = {2010},
volume = {1},
pages = {766-773},
address = {Spatial Analysis and Modeling Laboratory, Department of Geography,
Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6,
Canada},
abstract = {The forests of British Columbia, Canada have undergone an unprecedented
Mountain Pine Beetle, Dendroctonus ponderosae Hopkins, (MPB) infestation
that has resulted in extensive mortality of lodgepole pine, Pinus
contorta. The objective of this study is to apply the agent-based
model (ABM) to simulate the MPB attack behaviour in order to evaluate
how different harvesting policies influence spatial characteristics
of the forest and spatial propagation of the MPB infestation over
time. The first scenario is the no management action with the natural
disturbance process leading the changes of the forest ecosystem.
The other two scenarios implement sanitation and salvage harvesting
methods. Obtained results indicate that the different management
strategies significantly affect the MPB infestation rates. Statistical
analysis of the simulation outcomes is performed to compare the three
scenarios and prove that salvage harvesting is the most effective
strategy. This study can improve our understanding of the effects
of management strategies and assist policy decision making process
when complex MPB agent-based model of forest insect outbreaks is
used.},
comment = {Export Date: 18 February 2014
Source: Scopus},
keywords = {Agent-based modelling, Complex systems, Forest infestation, Forestry,
Mountain pine beetle (MPB)},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84858665519&partnerID=40&md5=5d4d818d5a603ae35df06e8f2a1d0dc8}
} @ARTICLE{PerezDragicevic2010,
author = {Perez, L. and Dragicevic, S.},
title = {Modeling mountain pine beetle infestation with an agent-based approach
at two spatial scales},
journal = {Environmental Modelling and Software},
year = {2010},
volume = {25},
pages = {223-236},
number = {2},
abstract = {Extensive outbreaks of tree-killing insects have been occurring in
many parts of North America, including the province of British Columbia,
raising concerns about the health of pine forest ecosystems. The
dynamic phenomenon of mountain pine beetle (MPB), Dendroctonus ponderosae
Hopkins, infestation outbreaks is an inherent spatial and temporal
complex process. Agent-based modeling (ABM) facilitates simulating
spatial interactions that describe the ecological context in which
insect populations spread. The main objective of this study was to
develop a model of the MPB forest infestation dynamics. This spatially
explicit model integrates geographic information systems (GISs) and
ABM to simulate MPB outbreaks at the tree and landscape scales, providing
spatiotemporal information of annual distribution and patterns of
MPB outbreaks. This prototype was implemented with geographic data
generated from aerial overview surveys carried out by the B.C. Ministry
of Forests and Range, for the study site in Kamloops, Canada. Results
show the direct influence that vigorous forest stands and trees have
on higher breeding rates, and therefore in the MPB population increment
at a tree scale, in a period of 5 years. The simulation results at
the landscape level help to determine the most probable locations
of future MPB infestations in a time frame of 10 years. © 2009 Elsevier
Ltd. All rights reserved.},
address = {Spatial Analysis and Modeling Laboratory, Department of Geography,
Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6,
Canada},
comment = {Cited By (since 1996):15
Export Date: 18 February 2014
Source: Scopus},
keywords = {Agent-based models (ABM), Complex systems modeling, Forest disturbances,
Geographic information systems (GISs), Mountain pine beetle (MPB),
Spatiotemporal modeling},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74249118232&partnerID=40&md5=c0abc40bc83a9ef3826c10e734db8a39}
} @ARTICLE{PerezDragicevic2009,
author = {Perez, L. and Dragicevic, S.},
title = {An agent-based approach for modeling dynamics of contagious disease
spread},
journal = {International Journal of Health Geographics},
year = {2009},
volume = {8},
pages = {50},
number = {1},
abstract = {Background: The propagation of communicable diseases through a population
is an inherent spatial and temporal process of great importance for
modern society. For this reason a spatially explicit epidemiologic
model of infectious disease is proposed for a greater understanding
of the disease's spatial diffusion through a network of human contacts.
Objective: The objective of this study is to develop anagent-based
modelling approach the integrates geographic information systems
(GIS) to simulate the spread of a communicable disease in an urban
environment, as a result of individuals' interactions in a geospatial
context. Methods: The methodology for simulating spatiotemporal dynamics
of communicable disease propagation is presented and the model is
implemented using measles outbreak in an urban environment as a case
study. Individuals in a closed population are explicitly represented
by agents associated to places where they interact with other agents.
They are endowed with mobility, through a transportation network
allowing them to move between places within the urban environment,
in order to represent the spatial heterogeneity and the complexity
involved in infectious diseases diffusion. The model is implemented
on georeferenced land use dataset from Metro Vancouver and makes
use of census data sets from Statistics Canada for the municipality
of Burnaby, BC, Canada study site. Results: The results provide insights
into the application of the model to calculate ratios of susceptible/infected
in specific time frames and urban environments, due to its ability
to depict the disease progression based on individuals' interactions.
It is demonstrated that the dynamic spatial interactions within the
population lead to high numbers of exposed individuals who perform
stationary activities in areas after they have finished commuting.
As a result, the sick individuals are concentrated in geographical
locations like schools and universities. Conclusion: The GIS-agent
based model designed for this study can be easily customized to study
the disease spread dynamics of any other communicable disease by
simply adjusting the modeled disease timeline and/or the infection
model and modifying the transmission process. This type of simulations
can help to improve comprehension of disease spread dynamics and
to take better steps towards the prevention and control of an epidemic
outbreak. © 2009 Perez and Dragicevic; licensee BioMed Central Ltd.},
address = {Spatial Analysis and Modeling Laboratory, Department of Geography,
Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6,
Canada},
comment = {Cited By (since 1996):27
Export Date: 18 February 2014
Source: Scopus
Art. No.: 50},
owner = {Luc},
timestamp = {2014.02.18},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-69249200623&partnerID=40&md5=852b613dcbea993cbe445d54c322f2c9}
} @ARTICLE{PerezRivera2002,
author = {Perez, L. and Rivera, J.A.},
title = {Geography and Environment: Perspectives of Analysis},
journal = {Revista Perspectiva Geográfica},
year = {2002},
volume = {7},
pages = {30-37},
owner = {Luc},
timestamp = {2014.02.18}
}
