Gist 294bf474d3283271f3e967f4e15f0d03

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Gist 294bf474d3283271f3e967f4e15f0d03

✓ Published0🌍 Public

Last edited Aug 28, 2017

Created on Aug 28, 2017

This example runs a sensitivity analysis on a GAMA agent-based model, testing a wide range of parameter values to assess their influence on simulation outcomes. It defines dozens of parameter ranges (e.g., distances, probabilities, counts) via R’s `seq()` function, then generates an XML experiment plan for headless GAMA simulations, launched in parallel across 24 cores using a Bash script with `taskset`. The visualization itself is not produced here; the code focuses on experimental setup and parameter sampling.

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