Easy, fast and reproducible Stochastic Cellular Automata with chouca
Stochastic cellular automata (SCA) are models that describe spatial dynamics using a grid of cells that switch between discrete states over time. They are widely used to understand how small-scale processes scale up to affect ecological dynamics at larger spatial scales, and have been applied to a w...
Saved in:
Main Authors: | Génin, Alexandre, Dupont, Guillaume, Valencia, Daniel, Zucconi, Mauro, Ávila-Thieme, M. Isidora, Navarrete, Sergio A., Wieters, Evie A. |
---|---|
Format: | Article |
Language: | English |
Published: |
Peer Community In
2024-10-01
|
Series: | Peer Community Journal |
Subjects: | |
Online Access: | https://peercommunityjournal.org/articles/10.24072/pcjournal.466/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of initial vegetation heterogeneity on competition of submersed and floating macrophytes
by: Linhao Xu, et al.
Published: (2024-10-01) -
A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach
by: Murad Bashabsheh
Published: (2025-04-01) -
Application of Spatial Transcriptomics in Digestive System Tumors
by: Bowen Huang, et al.
Published: (2024-12-01) -
Spatially resolved transcriptomics reveals gene expression characteristics in uveal melanoma
by: Jing-Ying Xiu, et al.
Published: (2025-01-01) -
Risk-Aware Stochastic Vehicle Trajectory Prediction With Spatial-Temporal Interaction Modeling
by: Yuxiang Feng, et al.
Published: (2025-01-01)