Cellular automata models for the simulation of real-world urban processes: A review and analysis

By I. Santé, A. M. García, David Miranda, R. Crecente. 2010

761 citations recorded by the source corpus.

Subfields: Building and Construction, Computational Theory and Mathematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bf5d1424dd5e96e92fc41347dc7b2910ec35612d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Md. Kamruzzaman

In Computational Theory and Mathematics

1. Xuanjing Huang

In Global and Planetary Change

1. Md. Kamruzzaman
2. Bayes Ahmed

Citations in the corpus

• The rise and potential of large language model based agents: a survey (2025, positive): “While micro-level simulation, also known as agent-based simulation or MAS, indirectly simulates society by modeling individuals [446, 447].”
• Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh (2013, methodology): “These tools, again, utilize a number of methods in Remote Sens. 2013, 5 5974 order to model land cover change such as Markov Chain [47], Cellular Automata [48], Logistic Regression [49], and Artificial Neural Network (ANN) [50].”