https://github.com/marcosci/mini_taskview_ibm
Taskview for all IBM related 📦 packages in the R universe
https://github.com/marcosci/mini_taskview_ibm
abm agent-based-framework agent-based-modeling agent-based-simulation ibm individual-based-modelling r
Last synced: 6 months ago
JSON representation
Taskview for all IBM related 📦 packages in the R universe
- Host: GitHub
- URL: https://github.com/marcosci/mini_taskview_ibm
- Owner: marcosci
- Created: 2018-02-27T08:37:54.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-13T07:20:46.000Z (over 7 years ago)
- Last Synced: 2024-10-24T00:22:55.648Z (over 1 year ago)
- Topics: abm, agent-based-framework, agent-based-modeling, agent-based-simulation, ibm, individual-based-modelling, r
- Homepage:
- Size: 10.7 KB
- Stars: 3
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# mini_taskview_ibm
This is a collection of agent-based (or individual-based) models in R. It includes packages, codes, and tutorials dealing with the simulation of any kidn of agents in a spatially explicit landscape as well as in a non-spatial way.
Contributions are welcome! Please submit an issue, or make a contribution.
## Packages
- [SpaDES](https://github.com/PredictiveEcology/SpaDES) : Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models.
- [simecol](http://simecol.r-forge.r-project.org/): "a lightweight R package that employs an object oriented paradigm for the implementation of dynamic simulation models."
- [NetLogoR](https://github.com/PredictiveEcology/NetLogoR): "Easily create agent-based models in R following the NetLogo framework (Wilensky, 1999)."
- [BacArena](https://cran.r-project.org/web/packages/BacArena/): "An Agent-Based Modeling Framework for Cellular Communities."
- [rtsetse](https://github.com/AndySouth/rtsetse): "R package for simulating tsetse fly populations to investigate control options."
## Publications with code
#### spatially explicit
- ["Using movement data to estimate contact rates in a simulated environmentally-transmitted disease system" (doi: https://doi.org/10.1101/261198)](https://github.com/doughertyeric/Anthrax_Sim)
- ["Can stochastic geographical evolution re-create macroecological richness–environment correlations?" (doi: https://10.1111/j.1466-8238.2011.00661.x)](http://binarystore.wiley.com/store/10.1111/j.1466-8238.2011.00661.x/asset/supinfo/GEB_661_sm_AppendixS2.R?v=1&s=dba917a7068184d35d109b6af1b238a5aa45115d)
#### spatially implicit
- ["Sexual selection can both increase and decrease extinction probability: reconciling demographic and evolutionary factors" (doi: https://10.1111/1365-2656.12601)](http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12601/abstract)
## Tutorials
- ["An introduction to Agent-Based Modelling in R" by Marco Smolla](https://marcosmolla.wordpress.com/2015/07/16/an-introduction-to-agent-based-modelling-in-r/)
- ["Tutorial about how to create very simple simulation or agent-based models of cultural evolution in R" by @amesoudi](https://github.com/amesoudi/cultural_evolution_ABM_tutorial)