MELBIS-V1 is a spatially explicit agent-based model that allows the geospatial simulation of the decision-making process of newcomers arriving in the bilingual cities and boroughs of the island of Montreal, Quebec in CANADA, and the resulting urban segregation spatial patterns. The model was implemented in NetLogo, using geospatial raster datasets of 120m spatial resolution.
MELBIS-V2 enhances MELBIS-V1 to implement and simulate the decision-making processes of incoming immigrants, and to analyze the resulting spatial patterns of segregation as immigrants arrive and settle in various cities in Canada. The arrival and segregation of immigrants is modeled with MELBIS-V2 and compared for three major Canadian immigration gateways, including the City of Toronto, Metro Vancouver, and the City of Calgary.
The MELBIS-V1 (v1.0.0) model was created by Dr. Liliana Perez and Jonathan Gaudreau (MSc) with the contribution of Dr. Suzana Dragicevic. The authors (Perez and Gaudreau) are members of the Laboratory of Environmental Geosimulation (LEDGE) at the University of Montreal and the Spatial Analysis and Modeling Lab (Dragicevic) at Simon Fraser University, Canada, and would like to acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC) for full support of this study under the Discovery Grant Program awarded to Dr. Perez and Dr. Dragicevic.