After a first edition in 2012, which successfully gathered a committed community of researchers in the field of cellular automata (CA), CAMUSS 2016 aims to consolidate the network that was initiated in 2012 as a privileged forum of discussion about CA and its integration with GIS Sciences, Geography and Urban Studies through the presentation of the advances in the state-of-the-art on CA. In this edition of the event, dedicated parallel sessions will also be organized focusing not only on CA but also on other geosimulation techniques such as agent-based simulation, artificial neural networks and discrete choice theory, among others.

CAMUSS 2016 invites authors to submit original research on topics including (but not limited to):
Fundamental Research in Cellular Automata
• Theoretical CA models
• Cells in CA
• Scale in CA
• Neighborhood in CA
• Transition rules in CA
• Calibration of CA models
• CA and complexity
• Integration of CA and GIS
• Integration of CA and remote sensing
• Integration of CA and agent-based modeling
• Integration of CA and supported vector machine algorithms

Other geosimulation techniques
• Agent-based simulation
• Artificial neural networks
• Discrete choice theory
• Advances in geosimulation modeling

Applications
CA/geosimulation:
• for land use/land cover modeling
• for transport modeling
• for demography modeling
• for health and epidemiology modeling
• for hydrology modeling
• for fire modeling
• and social sciences
• of urban processes
• in defense and security
• of natural disasters
• and energy networks
• in environment
• other applications of CA and geosimulation for modeling spatial systems

Full Papers and Extended Abstracts must be submitted in PDF format through the Easychair website (https://easychair.org/conferences/?conf=camuss2016)