Suivre
Liliana Perez
Liliana Perez
Associate Professor, Geography Department, Université de Montréal
Adresse e-mail validée de umontreal.ca - Page d'accueil
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An agent-based approach for modeling dynamics of contagious disease spread
L Perez, S Dragicevic
International Journal of Health Geographics 8 (50), 1-17, 2009
4592009
Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales
L Perez, S Dragicevic
Environmental Modelling & Software 25 (2), 223-236, 2010
612010
An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria
GA Hébert, L Perez, S Harati
Agent-Based Models and Complexity Science in the Age of Geospatial Big Data …, 2018
392018
Predicting climate change impacts to the Canadian boreal forest
TA Nelson, NC Coops, MA Wulder, L Perez, J Fitterer, R Powers, ...
Diversity 6 (1), 133-157, 2014
372014
ForestSimMPB: A swarming intelligence and agent-based modeling approach for mountain pine beetle outbreaks
L Pérez, S Dragićević
Ecological informatics 6 (1), 62-72, 2011
362011
Hybrid spatiotemporal simulation of future changes in open wetlands: A study of the Abitibi-Témiscamingue region, Québec, Canada
M Tiné, L Perez, R Molowny-Horas, M Darveau
International journal of applied earth observation and geoinformation 74 …, 2019
332019
BorealFireSim: A GIS-based Cellular Automata Model of Wildfires for the Boreal Forest of Quebec in a Climate Change Paradigm
J Gaudreau, L Perez, P Drapeau
Ecological Informatics, 2016
292016
Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based cellular automata model
L Perez, S Dragicevic
Ecological modelling 231, 53-64, 2012
272012
A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada
L Perez, S Dragicevic, J Gaudreau
Plos one 14 (7), e0219188, 2019
262019
Flood susceptible prediction through the use of geospatial variables and machine learning methods
NM Gharakhanlou, L Perez
Journal of hydrology 617, 129121, 2023
192023
Exploring Forest Management Practices Using an Agent-Based Model of Forest Insect Infestations
L Pérez, S Dragićević
Proceeding of International Congress on Environmental Modelling and Software …, 2010
142010
Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate: a 21years ’ data series review across the Canadian …
L Perez, T Nelson, NC Coops, F Fontana, CR Drever
International Journal of Digital Earth,, 2016
132016
Integrating neighborhood effect and supervised machine learning techniques to model and simulate forest insect outbreaks in British Columbia, Canada
S Harati, L Perez, R Molowny-Horas
Forests 11 (11), 1215, 2020
102020
Model testing and assessment: perspectives from a swarm intelligence, agent-based model of forest insect infestations
L Pérez, S Dragićević, R White
Computers, environment and urban systems 39, 121-135, 2013
102013
Towards modelling future trends of Quebec’s boreal birds’ species distribution under climate change
J Gaudreau, L Perez, S Harati
ISPRS international journal of geo-information 7 (9), 335, 2018
92018
Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills–The case of Gran Canaria
LC Quesada-Ruiz, L Perez, V Rodriguez-Galiano
Science of the total environment 687, 104-117, 2019
82019
Assessing the accuracy of sensitivity analysis: an application for a cellular automata model of Bogota’s urban wetland changes
Y Cuellar, L Perez
Geocarto International 38 (1), 2186491, 2023
62023
Validating models of one-way land change: an example case of forest insect disturbance
S Harati, L Perez, R Molowny-Horas, RG Pontius Jr
Landscape Ecology 36 (10), 2919-2935, 2021
62021
Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent‐based approach
T Anderson, A Leung, S Dragicevic, L Perez
Transactions in GIS 25 (2), 948-967, 2020
62020
Spatial prediction of current and future flood susceptibility: examining the implications of changing climates on flood susceptibility using machine learning models
N Mahdizadeh Gharakhanlou, L Perez
Entropy 24 (11), 1630, 2022
52022
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