Geographical version of Schelling's model of Segregation. It is built with PyQt5 and PyQtGraph
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Updated
Jul 6, 2023 - Python
Geographical version of Schelling's model of Segregation. It is built with PyQt5 and PyQtGraph
The Schelling model of segregation is an agent-based model that elucidates how individual preferences for neighbours might result in segregation. When agents represent householders who relocate to the city, the model is particularly efficient for studying ethnic group residential segregation.
a React component that uses WebGPU to render bitmap data within a set of viewports synchronously, including Schelling's Segregation Model simulator
These are my python practice projects geared toward economic subject matter.
Fixing issue with Schelling model that violates the 2nd law of thermodynamics
This Repository contains series of python programs for simulations of Schelling Model i.e. each node in a grid must satisfy threshold neighbourhood property.
Model of Urban Segregation
As part of Modelling and Simulation project, we had implemented this famous Schelling’s model which looks at the segregation of the two groups in particular area. We implemented this model using the rules of cellular automata.
Code for simulations and animations of various 1D and 2D Schelling segregation models (C++ and some with OpenGL graphics)
Simulação do modelo de segregação de schelling usando python MESA - Computação Experimental 2021/2
Code for my Independent Study course at Johns Hopkins University on Cellular Automata modeling.
Lab works on Information Processes Analysis subject. Taught on 1st sem of applied mathematics master programm.
An interactive Streamlit applet for the Schelling agent based model.
A cycle-driven peersim implementation of the Axelrod-Schelling model for cultural dissemination and segregation
Demonstration of Schelling's Segregation Model using Excel
This program implements Schelling's model of Segregation. The model is indicative of phenomena where individuals tend to relocate if the share of similar neighbors is less than the threshold value.
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