A visualization tool for NetLogo BehaviorSpace runs.
- Import arbitrary CSV in intelligently, allowing easy access from NetLogo code.
- Currently supports basic, unquoted csv... you have to modify BehaviorSpace output to do this. Opening up in Excel and hitting save usually does this.
- Visualize data as points with attributes (xcor, ycor, color, label, size) set to arbitray reporters based on data.
- Intelligent defaults for attribute scaling.
- Easily transition between different visualizations.
- Group data based on arbitrary keys.
- Example use case: Be able to visualize mean values for repeated runs.
- Ability to visualize a single row as multiple points, each point using different columns.
- Example use case: Suppose you have data from a single run tracking three populations. You want to be able to plot each population over time simultaneously.
- Mix grouping and splitting
- Example use case: Have multiple runs of three populations. You want to be able to plot the means of each population across the runs simultaneously.
- Build-in clustering algorithms.
- Example use case: Color clusters in scatter plot.
- Example use case: Use clusters as groups, so you could get means within clusters.
- Be able to handle 2 uniform inputs with one output. A heatmap would be one way to do this.
- Visualize changes over time.
- One simple thing to help this is just add a
connect-to
reporter, which woud create a link from a point to another point if the reporter is true for that point. - A more sophisticated way would be "sliding window" points.
- One simple thing to help this is just add a
Ultimate test case: Be able to visualize model state space, averaged across runs. Be able to visualize the vector field of the state space would be pretty awesome too.