NetLogo's BehaviorSpace + RAWGraphs

Offered By
Coursera Project Network
In this Guided Project, you will:

Be introduced to NetLogo's Ants Model, learning what it does and the influence of its parameters in its behavior.

Configure and run multiple BehaviorSpace experiments, with different combinations of model's settings.

Build codeless and insightful data visualizations with RAWGraphs

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this project-based course, you will be introduced to and explore one of the most relevant features of NetLogo: BehaviorSpace. The context behind such a feature is that a model's true insights arise when it runs multiple times with different combinations of settings (parameter values). This approach, sometimes referred to as parameter sweeping, allows the researcher to observe a large range of behaviors that the system is capable of producing. And that is exactly what you will be doing. In addition to that, you will analyze the results of your BehaviorSpace experiments with an open and entry-level (codeless) data analysis tool: RAWGraphs 2.0. With it, you will create many insightful data visualizations, which can all be brought together in a project's report. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

ModelingData AnalysisData Visualization (DataViz)ABM

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. NetLogo's BehaviorSpace

  2. Ants

  3. Experiment #1 - Simple Run

  4. RAWGraphs Data Analysis

  5. Experiment #2 - Repetitions

  6. Experiment #3 - Varying two parameters

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.