I have recently ventured into the world of individual or agent-based models (IBMs). In these models, patterns at a larger scale emerge from individual behaviors, decisions and interactions. My models are developed using NetLogo, both a programming language and a software created specifically to develop and analyse IBMs.
AnimDens - A NetLogo implementation of a model originally programmed in R. This model is used to estimate bias due to non-instantaneous sampling in transects and point counts.
FishCensus - This model is used to estimate bias, accuracy and precision of underwater visual census, by representing fish behavior in a realistic way at very small spatial and temporal scales.
The latest versions of all my NetLogo models can be found on modelingcommons.org.