Spatial constraints in cellular automata-based urban growth models: A systematic comparison of classifiers and input urban maps-Reference-Cited by-同舟云学术

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Spatial constraints in cellular automata-based urban growth models: A systematic comparison of classifiers and input urban maps

Published:2024-06 Issue: Volume:110 Page:102118
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Bastos Moroz Cassiano,Sieg Tobias,Thieken Annegret H.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Reference48 articles.

1. Driving Forces behind land use and land cover change: A systematic and bibliometric review;Allan;Land,2022

2. Geographic cellular automata for realistic urban form simulations: How far should the constraint be contained?;Antoni,2019

3. Dynamic Land-Use/Cover Change Simulation: Geosimulation and Multi Agent-Based Modelling;Arsanjani,2012

4. Cities and Complexity: Understanding Cities With Cellular Automata, Agent-Based Models, and Fractals;Batty,2005

5. Urban modeling;Batty,2009

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1. A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl River Delta, China;Remote Sensing;2024-07-27

3. An Intelligent Connected Vehicle Material Distribution Route Model Based on k-Center Spatial Cellular Clustering and an Improved Cockroach Optimization Algorithm;Symmetry;2024-06-15

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