Once you've developed and tested the logic and functioning of your model, it can be helpful to create a compelling visualization that clearly turns your model into an explanatory tool.

Agents have some predefined properties that allow you to modify their display in hCore's 3D spatial view:

  • "shape": string - if provided overrides the default "box" visualization for the agent.

    • There are built-in geometric shapes and 3D models. See the Shapes page for more information

  • "height": number - if provided (and agent is rendering on a 2d grid), will set the display height of the agent.

  • "scale": [number, number, number] - if provided, will re-render the agent in 3d space with the new scale, with [1, 1, 1] being the default. The position of the agent will remain the same (e.g. for neighbor calculations).

  • "direction": [number, number, number] - if an agent's shape is a 3D model, or asymmetric, the direction given will affect the agent's visualization.

  • "color": string - if provided, will color the agent. Named colors ("red", "green", "blue", etc.) are supported, alongside hex color codes (#223344) and RGB values (rgb(12,244,155)).

  • "rgb": [number, number, number] - an alternate way to color an agent by providing RGB values from 0 - 255.

    • This will be overridden if the "color" field is also set on an agent.

  • "hidden": boolean - if provided and true, the agent will not be rendered on the 3d viewer.

In the hIndex you can find published behaviors which have been created to help with more complicated visualization tasks.

Not all models lend themselves well to spatial representation, and when viewing the results of multiple simulation runs at once (as part of an experiment), it can be more useful to create analysis charts and graphs.